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Data Engineer

Young's Employment Services Ltd
Posted a day ago, valid for 5 days
Location

Feltham, Greater London TW13 4DH

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Data Engineer position is available for remote working or hybrid setup in West London, with a salary ranging from £60,000 to £70,000.
  • The ideal candidate should have at least 5 years of proven experience in data engineering or a similar role.
  • Key responsibilities include designing a modern data warehouse, developing data migration processes, and building data pipelines from various sources.
  • Strong proficiency in SQL, ETL/ELT tools, and Power BI is required, along with good skills in Python for data processing.
  • Candidates must be authorized to work in the UK without requiring sponsorship, and should possess a degree in Computer Science or a related field.
Data Engineer – Remote Working / Londoncirc £60,000 - £70,000 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. For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.