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Senior Data Engineer

This role is for a Senior Data Engineer on a contract basis, lasting 6 months, with a pay rate of £450-£500/day Inside IR35. It requires extensive cloud-based data engineering experience, proficiency in ETL/ELT processes, and knowledge of GCP, BigQuery, or Snowflake.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
500
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Inside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
Leicester, England, United Kingdom
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Airflow #Scala #Luigi #Strategy #GCP (Google Cloud Platform) #Redshift #Data Pipeline #Terraform #Snowflake #Automation #Data Strategy #Data Engineering #Cloud #Data Quality #Leadership #Data Warehouse #BigQuery #dbt (data build tool)
Role description
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Contract Senior Data Engineer | Leicester | Hybrid (1 day a week in) | £450-£500/day Inside IR35

We're excited to be hiring a Senior Data Engineer for a financial services company undergoing a major data transformation. This is a pivotal, high-impact role, offering the opportunity to lead the modernisation of their data infrastructure and define the future of their data strategy.

Why Join?
• Be the first Senior Data Engineer, shaping the company's data future.
• Transition legacy systems to a cutting-edge data platform.
• Influence tooling choices-the platform is GCP-based, but the team is open to new ideas.
• Growth potential: as the team expands, leadership opportunities will follow.

Your Role:
• Design, build, and maintain scalable data pipelines and infrastructure.
• Guide tool selection for optimal performance.
• Establish robust data quality and integrity standards, ensuring accurate, reliable data.
• Collaborate with stakeholders to translate business needs into technical solutions.

What We're Looking For:
• Extensive experience in cloud-based data engineering.
• Hands-on expertise with ETL/ELT processes, data modelling, and CI/CD pipelines.
• Proficiency with data warehouse solutions (BigQuery, Snowflake, or Redshift).
• Knowledge of workflow automation (Airflow, DBT, Luigi) and Infrastructure-as-Code (Terraform, Pulumi).
• Strong communication skills to engage both technical and non-technical teams.

For more information on this role or other similar roles please contact Mae Fitzgerald

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