Data Engineer

London, United Kingdom | Posted on 04/03/2026

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Description

We are looking to hire Data Engineer- Advanced Analytics role for one of our renowned IT client in UK. This is a contract role and remote working.If interested,please share your CV at

Skill in SF - SME - Logical DBA, MySQL

A strong Data Engineer is required to work on the Data Transformation workstream within Client`s Digital Screening. The core focus of this role is to build secure, repeatable data ingestion and transformation pipelines, to implement data cleansing rules, and to produce auditable, reproducible outputs.

Capability in data transformation-heavy pipelines from data-profiling to cleansing to standardization, conformance and publishing Advanced knowledge of SQL for profiling, joins/merges, deduplication, anomaly detection, and performance tuning

Scripting knowledge in Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code.

Proven experience working with geospatial data, including handling spatial formats (e.g., vector, raster, GeoJSON, shapefiles), coordinate reference systems, and spatial analysis workflows Strong ability to interpret and apply geographical context in data processing pipelines, with demonstrated capability to aggregate, upscale, or translate local/regional geospatial insights into broader national or regional-level datasets and analytical outputs

Experience working with publicly available official datasets, particularly Office for National Statistics (ONS) open data products (e.g.,census boundaries, geographic lookups, deprivation indices, or mid-year population estimates)

Able to build rules for completeness/validity/consistency, implement exception handling"