Remote Data Engineer

Young's
Liverpool, UK
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£60,000.0 - £70,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Big Data Business Systems Information Systems Databases Data Cleansing Information Engineering Data Integration Extract Transform Load (ETL) Data Migration Data Warehousing Relational Databases
+11 more
Python (Programming Language) Microsoft SQL Server Power BI SQL Databases Data Processing Azure Data Factory Snowflake Information Technology AWS Glue Data Pipelines Legacy Systems

Job description

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.

Requirements

  • 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.

Benefits & conditions

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

55 sec

Validating data processing architectures via containerized events

Modood Alvi · WWC 2025

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all