Data Engineer

Trinity House, United Kingdom

E.ON Next

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At E.ON Next, we're driving a fast-paced data transformation by migrating to Databricks, guided by best-practice data governance and architectural principles. As part of this journey, we're expanding our data engineering capabilities within the Data Team.

Here’s taste of what you’ll be doing:

  • Build and maintain scalable and efficient data pipelines within Databricks in accordance with best practice. Evolve and improve these pipelines as requirements change and as new technologies become available.

  • Build towards and maintain an enterprise data model within Databricks.

  • Integrate new sources into the data platform through the use of batch and streaming processes, all the while adhering to committed SLAs.

  • Create and maintain documentation of data pipelines and associated systems, and adhere to the security and monitoring processes around data.

  • Ensure data quality and reliability processes are effective and adhered to, ensuring trust in the data.

  • Help maintain existing non-Databricks data pipelines, including monitoring and troubleshooting.

Are we the perfect match?

  • 1+ years’ experience working as a Data Engineer with strong Python (incl. decorators, context managers and comprehensions) and SQL skills.

  • Familiarity with linux-based tools, data warehousing concepts and database design.

  • Experience with data extraction, transformation, cleansing and aggregation tasks.

  • Exposure to Big Data concepts, Databricks or Spark, or a strong willingness to learn.

  • Able to write clean, reusable, production-grade code for data pipelines, making recommendations for design based on business requirements.

  • Proactive, self-motivated and open to learning new technologies.

  • Energy sector experience is a bonus.

Here’s what else you need to know:

  • Role may close early due to high applications.

  • We’ll have regular team socials and lively team chats.

  • Competitive salary.

  • Location - London - 47-53 Charterhouse Street, Farringdon, London, EC1M 6PB London, Leicester - Granite House, Watermead Business Park, Syston, LE7 1PF or Nottingham - Trinity House, 2 Burton St, Nottingham NG1 4BX with travel to our other sites when required.

  • Working environment: Flexible hybrid working – a blend of in the office and home working.

  • 26 days holiday plus bank holidays each year – this includes a guaranteed day off for your birthday if you want it.

  • A generous pension scheme.

  • The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year.

  • We’ve exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career.

  • For all successful candidates.  Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider


We’re committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone.

We realise the best people bring their energy at different times, so we’re happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Big Data Databricks Data governance Data pipelines Data quality Data Warehousing Engineering Linux Pipelines Python Security Spark SQL Streaming

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Startup environment

Region: Europe
Country: United Kingdom

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