Senior Data Analyst (Fabric, SQL, Python) £60,000 - £70,000 - HYBRID

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

Benefits offered by this job

Hybrid work (2 days in office)

Bonus 20%

Job summary

Prize Placements is recruiting a Senior Data Engineer in a hybrid role based in the UK. The position focuses on implementing data pipelines using MS Fabric, SQL and Python to support data extraction, modelling and reporting for business insights.

You will collaborate with Engineering Operations and wider teams to design effective ingestion methods, build data warehouses, and deliver actionable analytics through BI tools like Power BI or Tableau.

Qualifications

• Proficiency in designing and implementing data pipelines.
• Strong SQL and Python skills with MS Fabric experience.
• Experience with modern data stack components (data warehouse, BI tools).
• Familiarity with cloud platforms (Azure, Snowflake).

Responsibilities

• Understand data pipeline requirements with Engineering Operations.
• Collaborate to design data ingestion and extraction methods.
• Build and optimize data pipelines from ETL/ELT to warehouse and analytics envs.
• Deliver data reporting and visualisations to the business.
• Support teams by improving data products and deliverables.
• Work with version control and DevOps practices for data models.

Skills

Data pipelines

SQL

Python

MS Fabric

Data modelling

BI visualization

Tools

Power BI

Tableau

Snowflake

Azure

Git

DBT

Job description

Senior Data Engineer (Fabric, SQL, Python) Hybrid (2 days in Office)

Location: Hertfordshire

Salary: £60,000 - £65,000+ / 20% Bonus

Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. We are looking for an experienced engineer who can drive the automated data pipeline development process, starting from requirements gathering, data extraction & loading, through to data modelling, reporting, and ultimately supporting the business.

The key responsibilities include:

• 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

The ideal candidate will have the following technical skills:

• Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data
• Proficiency in SQL and Python, along with MS Fabric
• A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau
• Excellent communication skills

You might also have:

• Familiarity with DevOps style data model development through packages such as DBT
• Familiarity with commonly used cloud based infrastructures such as Snowflake, Microsoft Azure etc.
• A good understanding of version control systems such as Git or Perforce