Senior Data Engineer

La Fosse; Manchester; Hybrid; GBP 99,000 - 121,000; Full time

Benefits offered by this job

Hybrid working

Growth opportunities

Collaborative culture

Job summary

La Fosse is seeking two Senior Azure Data Engineers to join its data team in Manchester on a hybrid basis. You will design and build scalable data pipelines using Azure Data Factory, Databricks, Python and Spark SQL to transform raw data into trusted datasets for analytics and risk management.

You will partner with stakeholders across finance, risk and real estate to deliver high-quality data solutions, optimise pipelines and support data architecture.

Qualifications

• Proven experience as a Data Engineer building enterprise-scale data pipelines.
• Hands-on experience with Databricks, Python, PySpark, Spark SQL.
• Experience with data lakes and data warehouses.
• Background in Financial Services, Banking, Credit, Real Estate or Asset Management preferred.
• Knowledge of financial data domains (transactions, market and reference data) advantageous.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, Python, PySpark and Spark SQL.
• Optimise and monitor data pipelines and integrations.
• Support data architecture and data standards.
• Partner with business stakeholders to deliver high-quality, reliable data solutions.

Skills

Databricks

Python

PySpark

Spark SQL

Tools

Azure Data Factory

Spark SQL

Job description

Location: Manchester - hybrid - 1 x a week (minimum)

Salary: Up to £110,000 + 17.5% bonus + Benefits

A leading European investment and asset management business is seeking two Senior Azure Data Engineers to join its newly established Data team. This is an excellent opportunity to work on complex data platforms within Financial Services and Real Estate.

The Role

You will design and build scalable, resilient data pipelines, transforming raw data into trusted datasets that support analytics, finance, risk and portfolio management.

Key Responsibilities

• Develop and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, Python, PySpark and Spark SQL.
• Optimise and monitor data pipelines and integrations.
• Support data architecture and data standards.
• Partner with business stakeholders to deliver high-quality, reliable data solutions.

Skills & Experience

• Proven experience as a Data Engineer building enterprise-scale data pipelines.
• Strong hands-on experience with:
• Databricks
• Python
• PySpark
• Spark SQL
• Experience with data lakes and data warehouses.
• Background in Financial Services, Banking, Credit, Real Estate or Asset Management preferred.
• Knowledge of financial data domains (transactions, market and reference data) is advantageous.
• Microsoft Azure certifications are a plus.

What's on Offer

• Salary up to £110,000
• Hybrid and flexible working
• Opportunity to shape a growing Data function
• Collaborative and entrepreneurial culture