Senior Data Engineer

Job description

Ocean Finance is a leading financial technology business offering a wide range of personal finance options to consumers such as our credit builder credit card, personal loans, a range of mortgages and second charge products for homeowners. We are a fast-growing data driven business offering a dynamic working environment where innovating on behalf of our customers is at the heart of everything we do.


Data Platform Evolution:

The company is moving into a new era, building a new data platform that will empower Data analysts to provide better insights to Product Analysts as well as empower Data Scientists run experiments in a more efficient and trusted data environment.

We are in the process of reviewing and enhancing everything around data including how data is

  • collected,
  • moved,
  • stored, and
  • processed.

What data is collected and where it is stored. How to apply machine learning across large datasets.


Key Responsibilities:

As a part of our team, you will be responsible for:

  • Driving design and development of data models.
  • Implementation and delivery of Data Mesh like solutions for interoperability among various data sets.
  • leading the exploration of data-centric platform technologies and implement the technologies that you recommend.
  • Ensuring data integrity & quality through monitoring and alerting tools
  • Planning robust systems that gracefully recover from outages and system issues
  • Provide support for both Analytics and Operational Platforms

Job requirements

About you:

This is a position for an individual who is passionate about all aspects of data and in its use to drive the business forward. We are looking for someone with experience in building large-scale data platforms, analytic tools, and solutions. If you are passionate about making data

  • easily accessible,
  • trusted, and
  • available

across the entire business at scale, we'd love to hear from you.


Technical Skills:

  • Proven experience with Apache Spark
  • Proficiency in Programming languages like Python and Pyspark
  • Hands on experience with Databrick
  • AWS Skills
  • S3 for the Data Lakes
  • Athena
  • Glue
  • Code optimization
  • Performance tuning
  • CI with Databricks
  • SQL


Good to have:

  • Power BI Experience
  • Experience with Web Analytics and advertising vendor data


What's in it for you:

We highly value people that can make a difference and to reflect this we offer:

  • Start 25 days holiday (plus Bank Holidays)
  • Birthday off (carried over if your birthday is at a weekend)
  • Buy, Sell, Transfer Holidays
  • 1 community day
  • Pension contribution
  • Fully remote – work anywhere at any time
  • Eye test vouchers
  • Quarterly awards
  • Perkbox