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Day 154
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Senior Data Engineer
London, UK, Remote, UK
Open 5 months, first seen by us 154 days ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Listed location: London, UK, Remote, UK
Read the full posting- Employment
Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: permanent
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain data pipelines and ETL processes into the data platform
Develop data models and schemas for efficient storage and retrieval
Implement data quality, validation, governance and security controls
Optimize data processes and queries for performance and scalability
Provide data and tooling to data scientists for revenue-generating models
From the employer’s posting
Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
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.
Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026154 days ago
- Recorded sightings
- 81
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Nasstar is hiring
2 open jobs
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- Azure
- Databricks
- Hadoop
- Spark
Where the posting names them
- 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).
- Competitive salary and compensation package. - Exclusive access to AWS & Databricks certifications, training, and partner tools. - Remote work with regular team socials.
Skills, Knowledge and Expertise - Excellent understanding of Azure data tools, especially Databricks - Proven experience as a Data Engineer, working with Azure data services.
- 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.
- 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.
Your next step
Complete your application on nasstar.pinpointhq.com. The employer’s form will show what is required.
Applying through Pinpoint
- Only .pdf and .docx are accepted. Older .doc files are turned away.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Key Responsibilities
- 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.
Skills, Knowledge and Expertise
- 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.
Benefits
- Competitive salary and compensation package.
- Exclusive access to AWS & Databricks certifications, training, and partner tools.
- Remote work with regular team socials.
- Work with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning.
Employment type
Permanent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, UK, Remote, UK
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. Key Responsibilities
More source context
- 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.
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.