Analytics & Data Quality Engineer (1-Year FTC) - Remote, UK
Posted Today by NST - Nova Source Technologies
£65,000 Per year
Inside
Remote
England, United Kingdom
Summary: The Analytics & Data Quality Engineer role involves supporting the development of a modern data platform using Microsoft Fabric while ensuring data quality and integrity across various systems. This remote position requires expertise in T-SQL, ETL/ELT processes, and some knowledge of Python and Power BI. The role includes occasional travel to London for team meetings and is initially a 1-year fixed-term contract with potential for permanent placement. The engineer will be responsible for delivering end-to-end data solutions and enhancing data quality rules.
Key Responsibilities:
- Deliver end-to-end data solutions focused on ingesting, transforming, and validating data.
- Configure and enhance data quality rules to ensure data accuracy and consistency.
- Analyze datasets to identify anomalies and drive improvements in data integrity.
- Collaborate with team members during occasional travel to London for meetings.
Key Skills:
- Strong experience with T-SQL and complex data querying.
- Proven background building ETL/ELT pipelines and data integrations.
- Experience working with Microsoft Fabric or similar modern data platforms.
- Some working knowledge of Python for data processing and validation.
- Experience with Power BI or comparable reporting tools.
- Strong focus on data quality, validation, and data integrity.
- High attention to detail with the ability to investigate and challenge data issues.
Salary (Rate): £65,000.00 yearly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Analytics & Data Quality Engineer – T-SQL, Data Analytics, ETL/ELT, Data Quality, Microsoft Fabric, Power BI, Python, Remote, UK (1-Year FTC) £50,000 - £65,000 + Benefits
This is an excellent Analytics & Data Quality Engineer opportunity to join a growing, data-driven organisation, on a 1-year FTC, supporting the development of a modern data platform built on Microsoft Fabric, while driving improvements in data quality, integrity, and reliability across multiple source systems.
The Analytics & Data Quality Engineer is a remote working role, with occasional travel to London for team meetings. Initially a 1-year FTC, with potential to transfer to permanent.
As an Analytics & Data Quality Engineer, you will play a key role in delivering end-to-end data solutions, focused on ingesting, transforming, and validating data across the organisation’s platform. Proven strong experience working with T-SQL and ETL/ELT pipelines is essential as Analytics & Data Quality Engineer, as well as some hands-on capability in Python and Power BI.
The Analytics & Data Quality Engineer will also take ownership of configuring and enhancing data quality rules, ensuring data is accurate, consistent, and fit for business use. With a strong attention to detail and a naturally inquisitive mindset, the Analytics & Data Quality Engineer will go beyond data movement—analysing datasets, identifying anomalies, and driving improvements in data integrity and trust.
Key Skills as Analytics & Data Quality Engineer:
- Strong experience with T-SQL and complex data querying.
- Proven background building ETL/ELT pipelines and data integrations.
- Experience working with Microsoft Fabric or similar modern data platforms.
- Some working knowledge of Python for data processing and validation.
- Experience with Power BI or comparable reporting tools.
- Strong focus on data quality, validation, and data integrity.
- High attention to detail with the ability to investigate and challenge data issues.
This is an excellent Analytics & Data Quality Engineer opportunity to play a critical role in shaping a modern data platform, ensuring data is not only delivered, but trusted.
Key Skills: T-SQL, Data Analytics, ETL/ELT, Data Quality, Microsoft Fabric, Power BI, Python, UK (Remote – Occasional Travel)
*PLEASE READ BEFORE APPLYING* This is a 1-year FTC opportunity. You must have proven experience with T-SQL, ETL/ELT pipelines, and a strong focus on data quality and validation is essential. You must be willing for some occasional travel to London, as required.