Data Analyst - SQL/PYTHON - £65,000 - Hybrid / Hertfordshire

Prize Placements; England; Hybrid; GBP 59,000 - 72,000; Full time

Benefits offered by this job

Gym on site

25 days holiday

Job summary

Prize Placements is recruiting a Senior Data Engineer to own end-to-end data pipelines and analytics. The role combines hands-on SQL/Python work with MS Fabric in a hybrid setup, with two days in the Hertfordshire office. A salary around £65,000 plus a 20% bonus accompanies a gym-on-site and 25 days holiday.

You will drive data extraction, modelling, reporting, and dashboards, collaborating with engineering teams and business stakeholders to improve data products and delivery.

Qualifications

• Experience delivering end-to-end data pipelines from requirements to deployment.
• Strong SQL and Python skills; experience with MS Fabric.
• Experience creating dashboards in Power BI or Tableau.

Responsibilities

• Define data pipeline requirements with the Engineering Operations team.
• Collaborate to design data ingestion and extraction methods.
• Design pipelines covering extraction, load, data model, warehouse and analytics.
• Drive improvements in Data Analytics delivery and ways of working.

Skills

SQL

Python

Data pipelines

Data visualization

Tools

MS Fabric

Power BI

Tableau

Snowflake

Azure

Git

DBT

Job description

Senior Data Engineer (SQL, Python, Fabric, ) Hybrid (2 days in Office)
Location: Hertfordshire / WD4
Salary: 65,000+ / 20% Bonus / Hybrid / Gym on site / 25 days Holiday

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