Data Engineer
Technopride Ltd | Full time
London, United Kingdom | Posted on 04/03/2026
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- Date Opened 04/03/2026
- Job Type Full time
- Industry IT Services
- City London
- Province City of London
- Country United Kingdom
- Postal Code EC1A
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.
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.
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.
Establish Import/export patterns, handling data extracts, schema discovery, incremental loads, handling multiple source instances
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"
Work location: London / Remote
Eligible for BPSS