Data Engineer

your Jared; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Technopride Ltd in London is seeking a Data Engineer for Advanced Analytics on a contract basis with remote working. The role focuses on building secure, auditable data ingestion and transformation pipelines, applying data cleansing rules, and generating reproducible outputs.

You will work with SQL, Python, Spark and Azure Data Factory, handling geospatial data and publicly available datasets to deliver scalable analytics across UK markets.

Qualifications

• Experience with SQL for profiling, joins/merges, deduplication and anomaly detection.
• Strong Python scripting for automation, data wrangling and quality checks.
• Experience with modern data tooling (e.g. Spark, Azure Data Factory) or equivalents.

Responsibilities

• Build secure, auditable data ingestion and transformation pipelines.
• Implement data cleansing rules and conformance to standards.
• Work with geospatial data and ONS datasets to deliver regional to national analytics.

Skills

SQL

Python

Geospatial data

Data pipeline design

Data cleansing

Tools

Spark

Azure Data Factory

Pandas

Polars

scikit-learn

Matplotlib

Job description

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