Role – Data Engineer (Azure)Salary / Headline Benefits Realistic salary package of 64,000- 81,250 made up of a base salary of 55,000- 65,000 and a realistic bonus of between 15-25%, Private Healthcare, Gym Membership, + more.Hybrid Role – Remote Three days PW / Office in Kings Cross, London 2 days PWSponsorship Not availableMost data engineers are used to working with lots of data, but not many data engineers have worked with unimaginable volumes of data on a truly global level.Working closely with the data scientists, you’d be working for one of the largest fitness companies in Europe, using insights to answer the big questions, like which countries or cities to expand into, how to beat the competition and keep their 1.6m customers engaged and happy.You’ll work on many ‘big picture’ projects with an initial challenge of integrating all the Danish and Swiss data into the new global data reporting system before moving on to new territories and the challenges that come with it.It’s a high-visibility role with a flat management structure and a supportive environment focused on bringing out your creativity and ideas.The data platform is bleeding-edge and based on a framework of metadata-driven pipelines built within the Azure modern data warehouse tech stack incorporating Azure Data Lake Storage Gen2 (ADLS), Azure Data Factory v2 (ADF) orchestration pipelines and Azure Databricks data transformations and data science models.You’ll start with a tailored data engineer onboarding programme to get to know the teams, tools and data landscape, which then moves into a training and career growth framework. You’ll have paths into data science, architecture and other levels data engineer seniority available, matching your ambition at every step.HERE’S WHAT YOU’LL NEED:You’ll already have a few years’ experience working as a data engineer, you’ll be used to using SQL and ETL-ing data into Azure Data Lake Storage (ADLS).You also have experience programming in Python and using big data frameworks like Spark, Hadoop, Storm or Hive.HOW TO APPLY:Either apply here or search for Simon Monaghan on LinkedIn, where you will find my contact details at the top of my profile page.Don't worry if your CV is not up to date. We’ll deal with that later if needed.
Data Engineer
Skills required: Architecture, Big Data, Data Science, Hadoop, Hive, Management, Other, Python, Spark, SQL
Technologies required: Architecture, Hadoop, Hive, Python, SQL, Storm
Date: August 13, 2022