Senior Data Engineer
Remote London Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Nasstar. Remote, United Kingdom · full-time · no salary stated · we estimate £86,250–£114,500.
Estimated pay
Nasstar has not published a salary for this role. The figure below is our estimate, not theirs.
£86,250 – £114,500
What the middle half of senior data engineering roles in London paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median £100,000. Last updated Oct 14, 2026.
RoleData Engineering
SenioritySenior
LocationLondon
WorkplaceRemote
EmploymentFull-time
PostedMay 12, 2026 · 5mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain a cloud data platform that brings together existing legacy data services
- Create pipelines and ETL workflows to move data into the platform and prepare it for use
- Develop data models, then add checks that protect data accuracy and consistency
- Improve query and data-processing performance while supporting growth in platform scale
- Work with architects, cloud engineers, stakeholders and data scientists to deliver data services and useful insights
What you bring
- You have worked as a data engineer using Azure data services, with strong knowledge of Azure tools such as Databricks
- You can use SQL and data integration or ETL tools, including Azure Data Factory or Azure Databricks
- You understand data modeling, relational and non-relational databases, and data warehousing
- You know how to apply data governance and security practices
Who this fits
This senior role suits someone comfortable solving problems independently and collaborating with colleagues and stakeholders. It is fully remote and based in London, United Kingdom.
From the employer
We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.
The role is 100% remote.
The role is 100% remote.
- Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
- Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
- Develop data models and schemas to support efficient data storage and retrieval.
- Implement data quality and validation processes to ensure the accuracy and consistency of data.
- Optimize data processes and queries for performance and scalability.
- Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
- Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
- Implement data governance and security controls to ensure data privacy and compliance with regulations.
- Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.
- Excellent understanding of Azure data tools, especially Databricks
- Proven experience as a Data Engineer, working with Azure data services.
- Strong understanding of data modeling concepts and relational and non-relational databases.
- Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).
- Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).
- Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.
- Knowledge of data governance and data security best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills to work effectively within a team environment.
- Experience with Agile methodologies is a plus.
- Comfortable problem solving alone as well as part of a team.
- Confident reaching out to stakeholders and colleagues in order to solve problems and understand issues.
- Happy in a remote working environment.
- Keen interest in new technologies and learning about them.
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