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You will primarily be building a customer lifetime view model and the associated data engineering pipelines and infrastructure. You may also work on other data engineering tasks as required. You will engage with stakeholders to understand the requirements of the model and iterating on the design as required.

Here's a taste of what you'll be doing:

You will build and maintain scalable and efficient data pipelines within Databricks in accordance with best practice. You will evolve and improve these pipelines as requirements change and as new technologies become available.

You will build towards and maintain an enterprise data model within Databricks.

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

You will create and maintain documentation of data pipelines and associated systems and adhere to the security and monitoring processes around data.

You will ensure data quality and reliability processes are effective and adhered to, ensuring trust in the data.

Are we the perfect match?

Strong Python experience and background.

Experience with Big Data and clustered compute e.g. Spark, Dask, Polars.

Strong Databricks experience.

Strong understanding of SQL, database design, and data architecting.

Be comfortable with taking ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements, with hands on experience of managing stakeholders and their expectations.

It would be great if you had:

Understanding of data and code testing concepts and principles e.g. unit testing, regression testing, integration testing.

Experience with data migration and transformation projects, and optimisation of existing code.

Strong attention to detail and curiosity about the data you'll be working with.

Strong understanding of Linux based tooling and associated concepts.

Experienced with data governance, data cataloguing, data quality principles, and associated tools.

Here's what else you need to know:

Role may close earlier due to high applications

We'll have regular team socials and lively team chats

Competitive salary

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

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

Work life balance - we work Monday-Friday 9AM-5PM to service our customers and make sure they have an unforgettable experience.

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

Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years)

Excellent parental leave allowance.

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