Data Engineer – West London / Middlesex & Work From Home 2 days per week
Salary:
circ £60,000 - £65,000 Data Engineer required for this newly created position based in West London with the flexibility to work from home 2 days per week. The Data Engineer will join a small data team working in the property sector, and will 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 position offers the post holder a chance to make a real difference as our client modernises their data landscape. Key Responsibilities:
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. Minimum Requirements:
To be considered for the post you’ll need at least 2 years Azure Cloud experience and most, if not all the following: Proven experience (3-5 years) as a data engineer. 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. Proficiency in Python for data processing, scripting, and automation. Any experience with DBT, Airbyte or similar transformation and replication products is hugely 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 - £65,000. Our client can also provide a vibrant, rewarding, and diverse work environment. 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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Salary:
circ £60,000 - £65,000 Data Engineer required for this newly created position based in West London with the flexibility to work from home 2 days per week. The Data Engineer will join a small data team working in the property sector, and will 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 position offers the post holder a chance to make a real difference as our client modernises their data landscape. Key Responsibilities:
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. Minimum Requirements:
To be considered for the post you’ll need at least 2 years Azure Cloud experience and most, if not all the following: Proven experience (3-5 years) as a data engineer. 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. Proficiency in Python for data processing, scripting, and automation. Any experience with DBT, Airbyte or similar transformation and replication products is hugely 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 - £65,000. Our client can also provide a vibrant, rewarding, and diverse work environment. 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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