Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 9d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source just now.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Remote, UK
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £92.7k–141.5k/yr
Middle 50% of 53 listings that do state pay — Engineering · Senior · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Pinpoint employer's own board first seen 9d ago · last seen just now
The listing
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.