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  • 02 Sep 2018

Job description

Note: This role is located in London, UK and is unable to offer visa sponsorship or paid relocation.

What is the role?

We are looking for an experienced Java back-end developer to join the Consumer Data team in our London Office and help build the systems that will enable us to understand our users’ behaviour and ultimately improve their experience by delivering the most appropriate content. 

Who are the Consumer Data team?

Rightmove captures over 50 million events for millions of users every day, and the Consumer Data team is responsible for providing the analysis and insight into their behaviour as well as building and maintaining the necessary platforms to do this.  Consumer Data is a blend of data science, data engineering and software development.

In order to process and analyse such large amounts of data, we use a combination of Big Data and web technologies such as Hadoop/MapR, Spark, MLLib, XGBoost, Zeppelin, Docker, Spring, Nginx, Couchbase, Java, Scala, cloud and bare-metal infrastructure.

A typical week in the Consumer Data team might involve…

  • Building microservices and working with the team on progressing data processing pipelines
  • Working with your team to deliver insights into the behaviour of Rightmove’s millions of users
  • Collaborating with other development teams to integrate our platforms with services and products
  • Discussing and designing the most appropriate software architecture with Architects and Tech Leads
  • Working with our SysOps and external Cloud provider on infrastructural aspects
  • Maintaining and ensuring the quality of the platforms and processes you work with

The first project that you will work on will be to build a new microservice capable of storing and providing programmatic access to user models and insights for both client-side browsers and other server-side microservices.

Why join our team?

Consumer Data is in a unique position to work with both web and Big Data technologies, handling billions of consumer behaviour events for millions of users, to enable Rightmove to model and deliver the most appropriate content to an array of different audiences.

If you are interested in this type challenging opportunity, in a team that encourages involvement from the commercial/discovery phase to technical implementation, then this is the team for you! 

We’re looking for someone who...

  • Loves to help find the best solutions possible when faced with a challenge
  • Takes the initiative when they spot an opportunity for improvement
  • Seeks to understand the context and broader outcomes of the projects they work on
  • Likes to share their knowledge with the rest of the team
  • Has a good knowledge of Java and web applications
  • Is interested in Big Data technologies and challenges
  • Likes to build a fun working environment with their team

Ultimately, we care much more about the person you are, how you think and approach problems and opportunities, than a list of qualifications and buzzwords on a CV. Even if you can’t say ‘yes’ to all of the above, but are smart, self-motivated and passionate about delivering great solutions then get in touch.

  • £45k - 55k
  • 02 Sep 2018

Job description

Who We Are

We’re a B2B start-up in the rapidly growing cybersecurity sector. At Panaseer, we work at the intersection of data science, big data technology and security, following W. Edwards Deming’s “In God we trust, all others must bring data”.

We're a rapidly expanding team, based in central London and the US, driven by our mission to help businesses secure their organisations and their customers against the ever-evolving cyber threats. Our cybersecurity risk management and data analytics platform empowers security teams in the enterprise to use data to answer the most challenging questions they face. Questions like: ‘How secure are our firm’s most critical assets?’, ‘What’s our security ROI?’ and ‘Where do I prioritise my scarce resources for best effect?

With the $10m Series A funding we've just raised, we have an ambitious roadmap to build on our success to date and we're on the lookout for a talented Senior DevOps Engineer to seed an R&D development movement in the company to re-architect our approach to the way we develop, configure, package and deploy our product.

Your Opportunity

As the first dedicated QA Engineer, you'll join a small and vibrant engineering team with a vital mission to:

  • Inspire engineers to develop high quality code and drive an automation over manual testing culture
  • Setup the environments and frameworks to allow engineers to automate the testing of their code at all levels of the development stack, from a Hadoop- and Spark-based big data platform to an Angular-based graphical UI
  • Help solve challenges we face with obtaining representative test data in a security- and performance-sensitive problem space
  • Implement processes in the development life cycle to capture the necessary testing requirements and ensure test results alter developers' behaviour
  • Build a set of metrics that will help us take a risk-based approach to software delivery
  • Consult and drive testing approaches for new projects
  • Define a new pivotal function in the company that will grow over time

Who You Are

You are a passionate QA automation engineer with a desire to design your own QA process/framework from the ground up. You will have had experience of either managing or mentoring QA engineers and you have an ambition to manage your own team in the future. You are a team player and enjoy working as part of cross-functional agile development teams. You value learning, knowledge sharing and want to make an impact on the company.

Experience & Skills

Essential to the role are your capabilities and prior experience in:

  • Strong knowledge of testing best practices and tools
  • Good understanding of test automation concepts and patterns
  • Experience of working on a variety of different test automation architectures, including both UI and API testing
  • Practical experience of test automation frameworks (e.g. Selenium, Cucumber or Rest Assured)
  • Practical experience with continuous integration and delivery (e.g. with CircleCi, Jenkins or similar tools)
  • Strong Java development experience
  • Comfortable on a Linux command line
  • Comfortable writing SQL queries
  • Comfortable searching and tracing errors back to logs

Preferably to have had exposure to or have a strong interest in:

  • Development experience in a scripting language such as Python or Ruby
  • Experience of automated cross-browser compatibility testing
  • £60k - 80k
  • 02 Sep 2018

Job description

Who We Are

We’re a B2B start-up in the rapidly growing cybersecurity sector. At Panaseer, we work at the intersection of data science, big data technology and security, following W. Edwards Deming’s “In God we trust, all others must bring data”.

We're a rapidly expanding team, based in central London and the US, driven by our mission to help businesses secure their organisations and their customers against the ever-evolving cyber threats. Our cybersecurity risk management and data analytics platform empowers security teams in the enterprise to use data to answer the most challenging questions they face. Questions like: ‘How secure are our firm’s most critical assets?’, ‘What’s our security ROI?’ and ‘Where do I prioritise my scarce resources for best effect?

With the $10m Series A funding we've just raised, we have an ambitious roadmap to build on our success to date and we're on the lookout for a talented Senior DevOps Engineer to seed an R&D development movement in the company to re-architect our approach to the way we develop, configure, package and deploy our product.

Your Opportunity

As the first dedicated DevOps Engineer, you'll join a small and vibrant engineering team with a vital mission to:

  • Drive the design and implementation of the deployment of our product, built on Hadoop- and Spark-based big data platforms running on AWS
  • Define the delivery of a product that must satisfy the needs of both on-premises and cloud deployments, whilst implementing best practice security principles
  • Build a Continuous Delivery pipeline from the ground up
  • Setup the tools and processes to maintain a rich set of test data for use in development
  • Identify and implement the monitoring and alerting requirements for the platform
  • Influence the companies release strategy and source control management
  • Define a new pivotal function in the company that will grow over time

Who You Are

You are an enthusiastic engineer who is passionate about building and deploying high quality software faster, with a vision and deep understanding of the best designs/practises in DevOps. You have implemented DevOps projects in the past, and there maybe solutions you are eager to try but haven’t had the opportunity to explore. You research solutions and designs rigorously before proposing arguments for an approach, and understand how to influence a business in changing its practises to ship value-adding code quicker. You will have had experience of either managing or mentoring other engineers, and you have an ambition to manage your own team in the future. You are a team player and enjoy working as part of cross-functional agile development teams. You value learning, knowledge sharing and want to make an impact on the company.

Experience & Skills

Essential to the role are your capabilities and prior experience in:

  • Working with both on-premises and cloud-based software
  • Setting up, architecting and administering AWS services and infrastructure (e.g. IAM / VPC / EC2 / S3 / RDS / EMR)
  • Writing infrastructure as code (e.g. with Terraform or CloudFormation)
  • Software provisioning and configuration management tools (e.g. with Ansible, Chef or Puppet)
  • Containerisation or virtualisation (e.g. with Docker, Vagrant, Packer)
  • Practical experience of managing continuous integration and delivery (e.g. with CircleCI, Jenkins, Maven, Gradle or similar tools)
  • Strong development experience in scripting languages such as Python or Ruby
  • Advanced Linux command line skills

Preferably to have had exposure to or have a strong interest in:

  • Container orchestration through the use of Kubernetes
  • Tooling for monitoring and log analysis
  • £52k - 69k
  • 02 Sep 2018

Job description

Lloyds Banking Group are looking for experienced and passionate Java Software Engineers to join our Open Banking team.

You’ll join our enthusiastic team to help build and deliver Open Banking applications for the UK’s largest bank.

This is your chance to help transform the way financial services are built and delivered to customers by creating best in class technology in the UK’s leading organisation.

We hope that you'll apply if:

You're a confident, self-motivated and ambitious software engineer, comfortable with modern production methodologies and build tools, coding patterns and best practices.

You have experience working collaboratively in teams but also be happy delivering projects on your own.

What experience & knowledge are we looking for from our Java Software Engineers?

•Java technologies: Spring/Spring Boot/Spring MVC, Hibernate
•Excellent understanding of Microservices architecture
•Experience with Jenkins or similar CI tools
•Intrinsic knowledge of SOLID and RESTful principles
•Good knowledge of unit testing frameworks, such as JUnit and Mockito
•Ability to write clean, well-tested and well documented code.

Knowledge of the following would be greatly beneficial:
•Cucumber/Gherkin
•Webdriver.io
•Experience in building secure systems
•Apache Kafka
•Spark
•Cassandra
Hadoop
•Map/Reduce
•Oracle
•Storm
•Frontend experience –Javascript, React, Redux, Mobx, HTML5, CSS3

The learning opportunities are endless plus a chance to make a real impact in a game changing organisation, which encourages creative thinking and empowers engineers to transform the way in which technology is built and delivered in financial industry.

As the UK’s largest retail and commercial bank, we have a footprint that touches nearly every community and household in the UK. That gives us a big responsibility to support the UK economy, and we have a clear strategy to put customers first – and achieve our vision of being the best bank for our customers.

We're committed to employing a diverse and inclusive workforce, reflective of the customers and communities we serve – where all our colleagues can be themselves and succeed on merit.

We're proud to have received the following industry recognition: 'Stonewall Top Private Sector Employer', 'Top10 Employer for Working Families', 'The Times Top 50 Employer for Women' and both 'Gold Standard' and "Best Workplace Adjustments Process" from the Business Disability Forum – each demonstrating our commitment to the principles of agile working and inclusion for all.

So if this sounds like a culture that you'd like to be a part of then be assured that we'll welcome your application.

  • 02 Sep 2018

Job description

Badoo is seeking an expert software engineer to join our Anti-Spam team. The Anti-Spam team stands on guard for security and safety of our users, and work hard to protect them from any kind of spam, scam or fraud. 

RESPONSIBILITIES/JOB ROLE

  • Create large scale web applications (360+ million users, over 1 billion dynamic requests to the backend daily);
  • Implement Big Data processing pipelines with PHP, Hadoop and Spark (Java/Scala)
  • Work on analytical systems, to search and destroy any spam-related threats as soon as possible
  • Create software for analysing texts, pictures and behaviour of potential spammers
  • Actively participate in the whole process of development, from initial design to deployment and support
  • Proactively communicate with colleagues, discuss applications design
  • Suggest and implement high-tech, innovative solutions
  • Optimise web applications, look for bottlenecks and, as and when necessary, implement visualisation and monitoring systems
  • Be deadline focused and report potential issues in a timely manner

REQUIRED EXPERIENCE, KNOWLEDGE AND SKILLS

  • Team leadership of 3-4 developers
  • Experience with highly available distributed systems
  • Broad programming language knowledge: multiple from PHP, GO, Python, Scala, Java desirable
  • Experience designing relational databases (MySQL)
  • Ability to optimise and fine-tune web applications that use MySQL
  • Experience implementing large scale projects using LAMP
  • Proactive and result-oriented
  • Experience with security-related projects
  • Experience using Spark and Machine Learning techniques desirable
  • £50k - 75k | Equity
  • 02 Sep 2018

Job description

We are looking for someone to solve complex data scalability challenges and build out our data engineering function from scratch

Octopus Energy is a tech-focused energy supplier for the UK market and we’re looking for an experienced Data Engineer to work closely with our Data Science and Development teams.

We're building a modern, event-driven platform for interacting with both consumers (via the web, mobile and smart-meters) and the industry (eg data flows, consumption forecasting, trading on the wholesale market).

This is a rare opportunity to use technology to help fight climate change through helping the UK to use green technology and renewable energy sources.

As our customer base grows exponentially so do our datasets. We’re building a modern, functional data platform that can harness this data and use it to improve our customer experience and boost the efficiency of our business. This is a unique opportunity to solve complex large-scale data scalability challenges that come with implementing a new environment into production. You will be given the autonomy to make important technical decisions and be given the authority to build out the Data Engineering team. If you are looking to make a real impact in a fast growing company and step up into a lead position then this is the role for you.

Why you should work for us

  • We have difficult technical problems to solve. With the advent of smart meters, we'll soon be processing millions of meter readings a day. We need the right technology in place to handle this smoothly as well as feeding data into analysis and machine learning pipelines.
  • Engineering standards are high. We pair program, thoroughly review and test code before it deploys and maintain fast, high-value test suites. We have weekly tech talks, monthly blitz-days (eg sharpening our internal tools, upgrading dependencies), host our own Hackathons and can often be found at tech meet-ups and conferences.
  • You'll be working for a company that’s fighting climate change. Our parent company is the largest investor in solar generation in the UK, and are funding wind and anaerobic digestion. As a supplier, we're helping people to use greener technology and renewable energy, all helping move the UK towards a lower carbon future.
  • We are leading the industry in data and innovation. We recently launched the UK’s first dynamic time of use tariff, the Agile Octopus and are working on projects in electric vehicles, home batteries, smart charging and smart meters.

Our technology

On the server-side, we mainly use Python. Most of our websites are powered by Django and the Django-REST-framework. Our data science team works with the Python Data Analytics stack (Pandas, numpy, scipy, scikit-learn) for analysis, forecasting and machine learning. We use Celery, RabbitMQ, SQS and Airflow for background processing and data pipelines.

We use AWS heavily, employing most of the "Hashistack" (eg Packer, Consul, Terraform) as part of a continuous deployment pipeline. See, for example, Django, ELB health checks and continuous delivery.

What we’re looking for

  • Experience administering SQL databases (ideally Postgres)
  • Competent in building optimised and efficient SQL queries to extract data
  • Advanced Software Engineering experience in Python
  • Extensive experience working with medium to large datasets using the AWS toolset
  • Hands-on use of workflow management frameworks (e.g. Airflow, Luigi, Apache NiFi)
  • Exposure to medium to large data processing and querying tools (e.g. Spark, AWS Athena or Presto, Hadoop, ELK etc)
  • Experience with data lake/warehouse and data pipeline design
  • Passion for solving complex technical challenges using data
  • £50k - 80k
  • 02 Sep 2018

Job description

Big Data Engineer

London or Newbury

Vodafone UK is building a world class Big Data engineering team across London and Newbury to push the boundaries whilst creating next level customer experiences, and we're looking for talented and imaginative engineers to join us for exciting new Big Data Engineer roles.

We're enabling the Data Scientists community to create a premium customer experience using AWS, Scala, Spark, Python, Hadoop/Cloudera in an Agile delivery.

We'd be especially keen to hear from you if you want to bring your engineering ideas to life on solutions that process millions of interactions every day.

What will I be doing?

  • Designing and producing high performing and stable applications to perform complex processing of massive volumes of data in a multi-tenancy Hadoop environment.
  • Building end-to-end applications that make use of large volumes of source data from the operational systems and output insights back to business systems
  • Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making
  • Working with the Group Data Engineering team to integrate and deliver developed solutions.

Interested,

We don’t believe in creating a tick list of buzzwords. In a nutshell we want pioneers. We want you to be inspired and enthusiastic about Big Data and Vodafone. We have no reason to be quiet. If you have a new idea or solution then say it, break the mould!

However, if you could also have experience to a few of the below, then that wouldn’t hurt either

  • Experience with Hadoop distribution, (Cloudera or Hortonworks)
  • The Hadoop ecosystem – including Hive, Map Reduce, Azkaban, Presto 
  • Strong software development experience in Scala/Python
  • Experience in designing, building and managing applications to process large amounts of data in a Hadoop ecosystem
  • Experience working on transformational projects

What can Vodafone offer you?

  • Working in a fun, collaborate team of likeminded people.
  • 28 Days holiday + bank holidays
  • A Defined contribution pension, (we match your contribution of up to 10%)
  • MyChoices - Vodafone’s benefits scheme which gives you the opportunity to choose a benefits package to suit your individual needs          
  • SMART working – 1 days working from home
  • Award winning maternity/paternity leave
  • 02 Sep 2018

Job description

Market research is the original data driven business. Incubated and spun-off from a university, we have earned the trust of the world´s biggest companies and leading brands - for more than 80 years. Today, everything at GfK starts and ends with Data and Science

We are proud of our heritage – and our future: Currently we’re on a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by cutting edge technology. In our Technology & Data organization, we are responsible for the entire lifecycle of our data-driven products.  

You still think Market Research is about questionnaires aggregated with Excel?

Wrong!

We are building end-to-end, data-driven products using high performance computing solutions on top of our own big data environments that collect, pipeline, mine and aggregate data at petabyte-scale.

And we, the Global Data Science team, sit right there in the engine room, developing innovative and prescriptive analytics solutions in an agile way, using our unique data assets. A perfect playground for creative minds who have fun shaping things!

Our projects are challenging - so it's quite likely you need to leave your comfort zone to deliver compelling solutions. Fortunately, we have a team of over 30 Scientist with very diverse backgrounds. So you'll always find someone who is able and happy to help. In our team, everybody is eager to learn - and share!

Now, we are extending our team to London and YOU can be a part of this journey setting up the team while already being part of large network of Data Scientists within GfK. 

This is only possible with extraordinary people.
And that’s why we are looking for YOU! A passionate Data Scientist

Job description

In our Technology & Data business unit, we are responsible for the entire lifecycle of our data-driven products and the division Global Data Science is an essential part of it.

As a Data Scientist, you will be part of a cross-functional development team, working hands-on with machine learning engineers, developers and client solution experts on delivering our end-2-end analytic solutions that will make us the indispensable data and analytics partner for the durable goods and technology industries.

At GfK, we develop our offerings with an agile mindset, which requires you to actively contribute to all phases of the solution development. It will be your responsibility to translate the product vision into data/analytic/algorithmic requirements, to conduct PoCs and to build prototypes, and at a later stage to work on high-performance implementations.

In that position, you’ll be looked after by Markus, who is an experienced Data Science team lead

with more than 10 years track record in creating analytic solutions that matter. 

However, Markus is really into football, but not just the European but also the American version. So whether your favorite ball is oval or spherical, he is your go to guy for a proper expert chat.

Concrete tasks will include:

  • Design and develop analytical approaches based on product concepts, going all the way from feasibility checks to proof-of-concepts to prototypes to implementation in end-to-end solutions
  • Explore and evaluate new data sources, mainly behavioral data, but also open data sources
  • Closely collaborate with machine learning engineers/ software engineers on creating data-driven end-to-end solutions for marketers
  • Help setup our new London based Data Science team
  • Present GfK’s Data Science capabilities in client-facing situations, at conferences and in workshops
  • Actively share Data Science knowledge within GfK's Technology and Data network

We look for a profile with complementary skills, such as:

  • Solid knowledge of Python programming
  • Experience in and/or strong interest in analytics in the (digital) Marketing field, experience with behavioral data sources is essential
  • Understanding of Big Data environments and Big Data frameworks (Hadoop/Spark/Hive)
  • Solid knowledge of the constantly evolving Data Science ecosystem and its frameworks (e.g. H2O, Tensorflow, Torch, Theano)
  • Experience in working with relational and non-relational databases, including SQL
  • Very good statistical modeling skills (machine learning, econometric modeling)
  • Master's degree in Statistics/Econometrics/Data Science, or related field with a quantitative focus (Mathematics/Physics/Economics)
  • 2+ years of professional experience in quantitative data analysis/ data science or related areas, ideally in a media/digital/targeted advertising agency

On top, your English communication skills are great, you are a team-player and tech-obsessed, always on the hunt for the latest and hottest shots!

Why else GfK?

  • Any advantages of a Global Player combined with an agile start-up atmosphere
  • Ongoing development training programs
  • Flexible working time on request
  • 25 days holiday per year
  • Occupational pensions
  • Prolonged Disability Insurance and Life Assurance
  • Long service awards
  • Season ticket loan

Our doors in our newly built open-concept office space are open for everyone and we are free of stereotyped thinking. The power of our team grows with the variety of individual perspectives and that’s why we need YOU!

Let’s design and shape our exciting future together. Right here. Right now. Together!

Just send an email to Maximilian

  • 02 Sep 2018

Job description

Market research is the original data driven business. Incubated and spun-off from a university, we have earned the trust of the world´s biggest companies and leading brands - for more than 80 years. Today, everything at GfK starts and ends with Data and Science

We are proud of our heritage – and our future: Currently we’re on a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by cutting edge technology. In our Technology & Data organization, we are responsible for the entire lifecycle of our data-driven products.  

You still think Market Research is about questionnaires aggregated with Excel?

Wrong!

We are building end-to-end, data-driven products using high performance computing solutions on top of our own big data environments that collect, pipeline, mine and aggregate data at petabyte-scale.

And we, the Global Data Science team, sit right there in the engine room, developing innovative and prescriptive analytics solutions in an agile way, using our unique data assets. A perfect playground for creative minds who have fun shaping things!

Our projects are challenging - so it's quite likely you need to leave your comfort zone to deliver compelling solutions. Fortunately, we have a team of over 30 Scientist with very diverse backgrounds. So you'll always find someone who is able and happy to help. In our team, everybody is eager to learn - and share!

Now, we are extending our team to London and YOU can be a part of this journey setting up the team while already being part of large network of Data Scientists within GfK. 

This is only possible with extraordinary people.
And that’s why we are looking for YOU! A passionate Senior Data Scientist

Job description

In our Technology & Data business unit, we are responsible for the entire lifecycle of our data-driven products and the division Global Data Science is an essential part of it.

As a Senior Data Scientist, you will be part of a cross-functional development team, providing guidance and vision to other data scientists, and working hands-on with machine learning engineers, developers and client solution experts on delivering our end-2-end analytic solutions that will make us the indispensable data and analytics partner for the durable goods and technology industries.

At GfK, we develop our offerings with an agile mindset, which requires you to actively contribute to all phases of the solution development. It will be your responsibility to translate the product vision into data/analytic/algorithmic requirements, to conduct PoCs and to build prototypes, and at a later stage to work on high-performance implementations.

In that position, you’ll be looked after by Markus, who is an experienced Data Science team lead

with more than 10 years track record in creating analytic solutions that matter. 

However, Markus is really into football, but not just the European but also the American version. So whether your favorite ball is oval or spherical, he is your go to guy for a proper expert chat.

Concrete tasks will include:

  • Design and develop analytical approaches based on product concepts, going all the way from feasibility checks to proof-of-concepts to prototypes to implementation in end-to-end solutions
  • Manage and coordinate Data Science projects, i.e. defining user stories and specific tasks working closely with Product Owners and Product Managers
  • Closely collaborate with machine learning engineers/ software engineers on creating data-driven end-to-end solutions for marketers
  • Help setup our new London based Data Science team
  • Present GfK’s Data Science capabilities in client-facing situations, at conferences and in workshops
  • Actively share Data Science knowledge within GfK's Technology and Data network

We look for a profile with complementary skills, such as:

  • Expert knowledge of Python programming, including pySpark
  • Solid skills with regard to working in Big Data environments (e.g., Cloudera Hadoop, Hortonworks Data Platform, AWS EMR, Map/Reduce, Hive)
  • Expert knowledge of the constantly evolving Data Science ecosystem and its frameworks (e.g., Hadoop, Spark MLlib, H2O, Tensorflow, Torch, Theano)
  • Basic skills with regard to performance optimization and scalability (e.g., parallelization, code optimization, containerization, function as a service)
  • Expert skills with regard to database handling, in particular SQL, NoSQL
  • Expert statistical modeling skills / knowledge on predictive analytics would be a plus
  • Expert knowledge of optimization and / or machine learning algorithms and / or deep learning algorithms
  • Solid understanding of Big Data Architectures
  • PhD or Master degree that reflects strong modeling, statistics and IT skills.
  • 4+ years of professional experience in quantitative data analysis/ data science or related areas

On top, your English communication skills are great, you are a team-player and tech-obsessed, always on the hunt for the latest and hottest shots!

Why else GfK?

  • Any advantages of a Global Player combined with an agile start-up atmosphere
  • Ongoing development training programs
  • Flexible working time on request
  • 25 days holiday per year
  • Occupational pensions
  • Prolonged Disability Insurance and Life Assurance
  • Long service awards
  • Season ticket loan

Our doors in our newly built open-concept office space are open for everyone and we are free of stereotyped thinking. The power of our team grows with the variety of individual perspectives and that’s why we need YOU!

Let’s design and shape our exciting future together. Right here. Right now. Together!

Just send an email to Maximilian

  • 02 Sep 2018

Job description

Join us on our exciting journey!

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

Big Data Engineer

Predictive Analytics, RWAS Technology

You will be working in a team of highly talented Engineers and Data Scientists. Your main responsibility will be to write highly performant and scalable code that will run on top of our Big Data platform (Spark/Hive/Impala/Hadoop). Also, you will be working closely with the Data Science team to support them in the ETL process (including the cohorts building efforts).

A typical day might include:

  • Working in a cross-functional team – alongside talented Engineers and Data Scientists
  • Building scalable and high-performant code
  • Mentoring less experienced colleagues within the team
  • Implementing ETL and Feature Extractions pipelines
  • Monitoring cluster (Spark/Hadoop) performance
  • Working in an Agile Environment
  • Refactoring and moving our current libraries and scripts to Scala/Java
  • Enforcing coding standards and best practices
  • Working in a geographically dispersed team
  • Working in an environment with a significant number of unknowns – both technically and functionally.

 Our ideal candidate: Experience 

  • BSc or MSc in Computer Science or related field
  • Strong analytical and problem-solving skills with personal interest in subjects such as math/statistics, machine learning and AI
  • Solid knowledge of data structures and algorithms
  • Experience working in an Agile environment using Test Driven Development (TDD) and Continuous Integration (CI)
  • Experience refactoring code with scale and production in mind. 

Our ideal candidate: Tech Skills 

  • Proficient in Scala, Java and SQL
  • Strong experience with Apache Spark, Hive/Impala and HDFS
  • Familiar with Python, Unix/Linux, Git, Jenkins, JUnit and ScalaTest
  • Experience with integration of data from multiple data sources
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Experience with any of the following distributions of Hadoop - Cloudera/MapR/Hortonworks. 

Bonus points for experience with:

  • Other functional Languages such as Haskell and Clojure
  • Big Data ML toolkits such as Mahout, SparkML and H2O
  • Apache Kafka, Apache Ignite and Druid
  • Container technologies such as Docker
  • Cloud Platforms technologies such as DCOS/Marathon/Apache Mesos, Kubernetes and Apache Brooklyn. 

The Team: Predictive Analytics

This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The Predictive Analytics team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers. 

We are looking for a creative, innovative, intellectually-curious and entrepreneurial Big Data Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. 

The Business Unit: Real-World & Analytics Solutions (RWAS) Technology

 “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools. 

We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. 

We invite you to join IQVIA™.

IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.