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Data Engineer

Job LocationLondon
EducationNot Mentioned
Salary65,000 per annum, negotiable, pro-rata, inc benefi
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time or part-time Work from home

Job Description

Position Overview Annalect is currently seeking a data engineer to join our technology team. In this role, you will build Annalect products which sit atop our Big Data infrastructure and utilize our componentized design system. Were looking for people whohave a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technicalarchitecture, design and development of software products as well as research and evaluation of new technical solutions. Key Responsibilities: * Designing, building, testing and deploying scalable, reusable and maintainable applications that handle large amountsof data * Write at-scale ETL processes in Python, Spark, and other technologies * Perform code reviews and provide leadership and guidance to junior developers * Ability to learn and teach new technologies Required Skills * Curiosity in learning the businessrequirements that are driving the engineering requirements * Interest in new technologies and eager to bring those technologies and out of the box ideas to the team * 4+ years of development experience on web applications using Python, Ruby, Java, or C# *4+ years of SQL experience. * Intellectual curiosity and drive; self-starters will thrive in this position * Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges AdditionalSkills * BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience (Youve learned something / somehow to be able to claim you are an engineer) * Significant experience with Python, C++, or other popular language * Experience withbig data and/or infrastructure. Experience in setting up Petabytes of data so they can be easily accessed is a plus. Understanding of data organization, ie partitioning, clustering, file sizes, file formats. Data cataloging with Hive/Hive metastore or Glueor something similar. * Experience working with classical relational databases. * Experience with Hadoop, Hive, Spark, or other data processing tools (Lots of time will be spent building and optimizing transformations) * Experience building scalable data pipelines(Airflow experience a plus) * Significant experience working with AWS and/or GCP Header (title) annalect.com 2 * Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product * Interest or experiencein ML technologies (TensorFlow, PyTorch or SageMaker, BigQueryML) Perks of working at Annalect * Culture. We have an incredibly fun, collaborative and friendly environment, and often host social and learning activities such as game night, speaker series, andso much more! * Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. * Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employeestime to rest, recharge and celebrate the season with family and friends. * As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a "startup" - we move fast, break things, and innovate.Flexible Working We are committed to supporting and helping Annalectuals have a great work/life balance and a positive attitude to well-being. As part of this we have a flexible and hybrid working model as a core part of how we operate. We believe flexible& hybrid working can increases individual motivation, improves performance and productivity, and reduces stress as well as helping manage wellbeing generally. We will work with you to implement the best flexible working solution for you without compromisingteam performance and client delivery.

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