Senior Data Engineer: Automated Pipelines (Hybrid)

Prize Placements; England; Hybrid; GBP 60,000 - 65,000; Full time

Benefits offered by this job

20% Bonus

Job summary

Prize Placements are recruiting a Senior Data Engineer to join a global leader. The role focuses on building and optimizing data pipelines using MS Fabric, SQL and Python, from requirements to data modelling, reporting, and business support.

Hybrid role in Hertfordshire with 2 days in the office. You will work with Engineering Operations to define data pipeline requirements, design data warehouses, and deliver BI visuals with Power BI or Tableau.

Qualifications

• Proficiency in implementing data pipelines and data literacy.
• Proficiency in SQL and Python, along with MS Fabric.
• A good understanding and experience of data visualization through BI tools such as Power BI or Tableau.
• Excellent communication skills.

Responsibilities

• Work with the Engineering Operations team to understand and define their data pipeline requirements for their new data projects
• Collaborate with the wider Engineering teams to understand existing data ingestion and design suitable methods for extraction
• Design and implement the necessary data pipelines within a modern data stack; including the data extraction and load steps, data model, data warehouse, and analytics environments
• Solve new data related problems and drive improvements to ways of working within the Data Analytics team
• Deliver data reporting and visualisations to the business.
• Help and support the business using your products to continuously improve the teams' deliverables

Skills

SQL

Python

Data pipelines

Data modelling

BI visuals

Tools

DBT

Git

Snowflake

Azure

Power BI

Tableau

MS Fabric

Job description

Prize Placements are recruiting a Senior Data Engineer to join a global leader. The role focuses on building and optimizing data pipelines using MS Fabric, SQL and Python, from requirements to data modelling, reporting, and business support.

Hybrid role in Hertfordshire with 2 days in the office. You will work with Engineering Operations to define data pipeline requirements, design data warehouses, and deliver BI visuals with Power BI or Tableau.