At a Glance
- Tasks: Design and develop modern data warehouses and build data pipelines for innovative projects.
- Company: Join a dynamic team at a leading data engineering firm with a collaborative culture.
- Benefits: Competitive salary, flexible remote work options, and opportunities for professional growth.
- Other info: Exciting career development opportunities in a fast-paced, tech-driven industry.
- Why this job: Make an impact by transforming data systems and enhancing analytics in a cutting-edge environment.
- Qualifications: 5+ years in data engineering, strong SQL skills, and proficiency in ETL tools.
The predicted salary is between 60000 - 70000 £ per year.
Experienced Data Engineer required for this remote working / hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice a week, however the client would also consider candidates looking for a remote working role as long as they can be onsite once a month. The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions data from legacy systems into modern infrastructure, reporting and analytics.
The key responsibilities for the post include:
- Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data.
- Develop and implement an automated, repeatable data migration process suitable for use over multiple project phases.
- Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques.
- Build data pipelines that clean, transform, and aggregate data from disparate sources.
- Stay up-to-date with emerging trends and technologies in data engineering.
To be considered for the post you’ll need most, if not all the following:
- Proven experience (5 years+) in a data engineering or similar role.
- Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake).
- Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc).
- Strong proficiency in Power BI and Advanced Analytics.
- Good proficiency in Python for data processing, scripting and automation.
- Any experience with DBT, Airbyte or similar transformation and replication products is advantageous.
- Experience with data migration and mapping complex relational data between business systems.
- Strong analytical skills with the ability to translate business requirements into data engineering solutions.
- Excellent problem-solving abilities, attention to detail and ability to work independently or in a team.
- Effective communication and interpersonal skills to foster relationships with stakeholders at all levels.
- Degree in Computer Science, Information Systems, Data Science or a related field.
Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future.
Contact Details:
Young's Employment Services Ltd Recruitment Team
