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Senior Data Engineer

Xcede

London

On-site

GBP 60,000 - 80,000

Full time

3 days ago

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Job summary

A market-leading SaaS company in London is looking for a Senior Data Engineer to join its data team. This key role involves building data pipelines and analytics tools, ensuring data is robust and secure, all while collaborating closely with product and engineering teams to meet business needs.

Qualifications

Strong experience in Python (especially Pandas and PySpark) and SQL.
Proven expertise in building data pipelines and working with Databricks and Lakehouse environments.
Deep understanding of Azure or similar cloud platforms.

Responsibilities

Design and implement scalable data pipelines using Databricks, Delta Lake, and Lakehouse architecture.
Build and maintain a customer-facing analytics layer, integrating with tools like PowerBI, Tableau, or Metabase.
Optimise ETL processes and data workflows for performance, reliability, and scalability.

Skills

Python

SQL

Data Pipelines

Databricks

Azure

DevOps

Data Visualisation

Collaboration

This range is provided by Xcede. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Xcede

Associate Director – Data & AI Recruitment

x2 days a week in their London office

A market-leading SaaS company is seeking a Senior Data Engineer to join its product-aligned data team. Operating in a data-rich, highly regulated industry, this company provides enterprise clients with robust decision-support and analytics tools to help them make faster, smarter, and more accurate business decisions.

The business has adopted a Lakehouse architecture, enhancing customer-facing analytics, and embedding data more deeply across all product lines. This is a key role in building out the reporting and visualisation layer, enabling real-time insight into platform performance, product usage, and end-to-end decisioning effectiveness.

You'll join a cross-functional team working closely with Product, Analytics, Security, and Software Engineering to define, develop, and deliver impactful data products to both internal stakeholders and end customers.

Responsibilities

Design and implement scalable data pipelines using Databricks, Delta Lake, and Lakehouse architecture
Build and maintain a customer-facing analytics layer, integrating with tools like PowerBI, Tableau, or Metabase
Optimise ETL processes and data workflows for performance, reliability, and scalability
Ensure systems are secure, privacy-compliant, and aligned with regulatory requirements (e.g., GDPR)
Collaborate with cross-functional teams to understand business needs and deliver well-architected data solutions
Lead by example through high-quality code, reviews, and mentoring of less experienced team members
Drive platform improvements through DevOps and Infrastructure-as-Code (ideally using Terraform)
Take ownership of system observability, stability, and documentation

Requirements

Strong experience in Python (especially Pandas and PySpark) and SQL
Proven expertise in building data pipelines and working with Databricks and Lakehouse environments
Deep understanding of Azure (or similar cloud platforms), including Virtual Networks and secure data infrastructure
Experience with DevOps practices and infrastructure-as-code (Terraform preferred)
Familiarity with data visualisation tools such as PowerBI, Tableau, or Metabase
Experience designing data platforms that are stable, scalable, and privacy-conscious
Strong communicator who can clearly explain technical concepts to non-technical stakeholders
Comfortable working in collaborative, cross-functional environments with a focus on continuous improvement

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Software Development

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