Senior Data Engineer (eDV)

About the role

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.

In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work.

Due to the nature of the work and the customers, you must hold enhanced DV Security Clearance.

As a Data Engineer, you will assist in the development of a secure batch/real-time data platform for a government client leveraging the latest commercial and open-source technologies. This involves getting data from a variety of different sources, getting it into the right format, assuring alignment to target models, and ensuring that data can be made available to downstream consumers.

Duties & Responsibilities

- Code, test, and document new or modified data pipelines that meet functional / non- functional business requirements

- Conduct logical and physical database design

- Expand and grows data platform capabilities to solve new data and analytics problems

- Conduct data analysis, identifying feasible solutions and enhancements to data processing challenges

- Ensure that data models are consistent with the data architecture (e.g. entity names, relationships and definitions)

- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Core Experience & Competencies

The successful candidate will have a Bachelor's degree and meet all of the following essential criteria and additionally have some experience (or a genuine interest in learning) from the preferred criteria.

Essential

- Data pipeline development using data processing technologies and frameworks

- Agile or other rapid application development methods

- Data modelling and understanding of different data structures and their benefits and limitations under particular use cases

- Experience in Public Cloud services, such as AWS. Practical experience with core services such as EC2, RDS, Lambda, Athena & Glue would be even better!

- Configuring and tuning Relational and NoSQL databases, including both query processing and query planning, or other data processing infrastructure