Back to search

Senior Data Engineer

London Temporary £550 - £880 per day View Job Description
We're seeking an experienced Senior Data Engineer to join a leading global organisation on a contract basis, helping to design and deliver scalable, enterprise-grade data solutions.This role will focus on building and optimising modern data platforms using Python, Databricks and Spark, enabling advanced analytics, reporting and data-driven innovation across the business.
  • Shape enterprise-scale data platforms using Databricks and Python.
  • Competitive day rate on a high-profile cloud data transformation programme.

About Our Client



Our client is a leading international financial institution with a long-established presence across major global markets. Serving a diverse client base that includes corporates, financial institutions and investors, the organisation delivers a broad range of banking, financing and capital markets services.

With significant investment in digital transformation and data-led innovation, the organisation is modernising its technology estate and expanding its enterprise data capabilities. Data plays a critical role in supporting business operations, regulatory obligations, analytics and strategic decision-making, making this an exciting opportunity to contribute to large-scale, business-critical data initiatives within a complex global environment.

Job Description

  • Design, build and maintain scalable data pipelines using Python and Databricks
  • Develop and optimise ETL/ELT processes leveraging Spark and Delta Lake
  • Create robust data models and data architectures within modern Lakehouse environments
  • Implement and manage data workflows across the Databricks ecosystem
  • Ensure data quality, governance, reliability and performance across platforms
  • Optimise distributed data processing workloads at scale
  • Collaborate closely with data scientists, analysts and stakeholders to support analytics and machine learning initiatives
  • Implement monitoring, logging and alerting capabilities across data solutions
  • Champion engineering best practices and mentor less experienced team members



The Successful Applicant



You will bring:

  • 10+ years' experience in Data Engineering
  • Experience delivering data engineering solutions within Banking, Financial Services, Capital Markets, Insurance, or other highly regulated enterprise environments.
  • Strong hands-on expertise in Python
  • Proven experience with Databricks, including notebooks, workflows, jobs and Delta Lake
  • Strong knowledge of Apache Spark / PySpark
  • Experience designing and delivering large-scale ETL/ELT pipelines
  • Advanced SQL skills and experience with relational databases
  • Experience working with cloud technologies such as AWS, Azure or GCP
  • Knowledge of modern data warehousing platforms such as Snowflake, Redshift or BigQuery
  • Understanding of data modelling principles and Lakehouse architecture
  • Excellent communication, stakeholder management and problem-solving skills



Desirable experience includes:

  • Databricks certifications
  • Streaming technologies such as Kafka or Structured Streaming
  • CI/CD and DevOps practices
  • Docker and Kubernetes
  • Exposure to machine learning pipelines

What's on Offer

  • Competitive day rate of £550-£880 Inside IR35 (Umbrella)
  • Initial 6-month contract
  • Hybrid working model with flexibility
  • Opportunity to work on cutting-edge data engineering projects
  • Exposure to modern cloud and data technologies
  • Collaborative and high-performing engineering environment
  • Chance to make a tangible impact on enterprise-scale data transformation initiatives



Contact
Hannah Kelly
Quote job ref
JN-072026-7064485
Phone number
+44 7989225567

Job summary

Job function
Technology
Subsector
Data Warehousing
Sector
Financial Services
Where
London
Contract type
Temporary
Consultant name
Hannah Kelly
Consultant phone
+44 7989225567
Job reference
JN-072026-7064485