Remote Data Engineer

Young's
Perth, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 70K

Job location

Remote
Perth, United Kingdom

Tech stack

Azure
Big Data
Business Systems
Information Systems
Databases
Data Cleansing
Information Engineering
Data Integration
ETL
Data Migration
Data Warehousing
Relational Databases
Python
Microsoft SQL Server
Power BI
SQL Databases
Data Processing
Azure
Snowflake
Information Technology
Amazon Web Services (AWS)
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.

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