Job closedPosted 7 months ago

Technopride Ltd - Data Engineer

Data Scientist
Open to offers London, United Kingdom
Twine JobsVerified
Stretford, United Kingdom · Organization
Recently active

Data Scientist is needed in London, United Kingdom.

Client: Technopride Ltd

Location: London, LND, gb

Contract: Contract

Job Description

We are looking to hire a Data Engineer - Advanced Analytics for one of our renowned IT clients in the UK.

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.

The role will involve establishing import/export patterns, handling data extracts, schema discovery, incremental loads, and managing multiple source instances.

Requirements

Skill in SF - SME - Logical DBA, MySQL is required.

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, with the 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 (e.g., Spark, Azure Data Factory) or the capability 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, and consistency, and implement exception handling.

Additional Information

Work location: London / Remote.

Eligible for BPSS.


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