Senior Data Engineer 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 (feel free to
include a CV for review).
