Data Engineer – Permanent

Data Engineer – Permanent

Hybrid role 2 days in the London Office

The Role:
My Financial Services Client is looking for a Data Engineer to join their expanding team. You will be responsible for developing and maintaining the data flows around their local business applications.
You will ensure that data processes are documented and developed in-line with the data strategy, identifying technical and data issues in the process. You will be working closely with various departments to ensure data is efficiently processed, stored, and made accessible for analysis and decision-making.

Duties & Responsibilities :
Taking ownership of the integrated data solution, SIA, and focusing on its development and enhancement.
Reviewing and finalising our new data pipeline to deliver quality, well-structured data across the business.
Implementing and monitoring data quality metrics to ensure it meets downstream user expectations.
Ensuring data flow and coding are well structured and documented.
Conducting peer review of others’ work to ensure high quality release.
Working with data users across the business to document and resolve data issues.
Coding, testing (module/component tests), correcting, and documenting solutions using agreed standards and tools.
Working independently and managing workload delivery to completion.
Developing controls and reporting to mitigate future data issues.
Working with group functions to integrate local data flows into cloud platforms as solutions are upgraded / adopted.
Contributing to project and BAU plans to estimate the time, cost, and resource effort for projects and change requests.

Experience :
Strong experience working with data pipelines.
Experience specifying, documenting, and making corrections to complex datasets.
Experience working on end-to-end data provisioning, from initial scoping to ongoing maintenance
Knowledge of data warehousing solutions.
Experience working in a collaborative style creating a culture of accountability and sharing.
Proficiency in SQL development.
Ability to learn rapidly and adapt to change.
Strong analytical skills.
Excellent problem-solving skills and attention to detail.
Experience with cloud platforms, particularly Azure is preferred but not essential.