Data Modeller/Data Engineer

Cox powered by Atrium
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Airflow
Amazon Web Services (AWS)
Azure
Data Architecture
Data Governance
ETL
Data Migration
Data Warehousing
Python
Standard Sql
Data Streaming
Spark
Data Lake
Kafka
Software Version Control
Data Pipelines

Job description

Develop and maintain ETL/ELT pipelines Design and optimise data warehouses and data lakes Create data models and end-to-end data flows Deliver data migration plans aligned to business strategy Work closely with Data Architects, Analysts, and Data Scientists Implement data governance, security, and compliance standards Monitor, troubleshoot, and optimise data pipelines Engage with stakeholders; run workshops and document outcomes Contribute to delivery plans and data roadmaps

Requirements

Strong SQL and Python or Scala Proven experience with cloud platforms (AWS, Azure, or GCP) Hands-on use of Spark, Kafka, Airflow or similar tools Solid understanding of data modelling and data architecture Experience with CI/CD pipelines and version control Strong analytical, problem-solving, and communication skills Ability to work across multiple systems and business domains", "industry": "IT", "baseSalary": {"@type": "MonetaryAmount", "currency": "GBP", "value": {"@type": "QuantitativeValue", "maxValue": "505", "minValue": "505", "unitText": "DAY"}}, "identifier": {"@type": "PropertyValue", "name": "[[BRANDNAME]]", "value": "[[IDENTIFIER]]"}, "datePosted": "2026-04-29T17:49+00:00", "validThrough": "2026-05-13T17:49+00:00", "hiringOrganization": {"@type": "Organization", "name": "Atrium Workforce Solutions UK Limited", "logo": "https://cjassets-fabkerfbaaayfhdm.z02.azurefd.net/images/jobbranding/9b37eaa85853/images/9b37eaa85853_detail.jpg"}, "jobLocation": {"@type": "Place", "address": {"@type": "PostalAddress", "addressRegion": "England", "addressLocality": "London", "addressCountry": "United Kingdom"}, "geo": {"@type": "GeoCoordinates", "latitude": "51.512", "longitude": "-0.065"}}, "url"

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