Data Engineer - Quanteam
Jobs via eFinancialCareers
Date: 4 days ago
City: London
Contract type: Full time

Job: DATA ENGINEER
Location: London – Hybrid working
Full Time Contract – Long term engagement
Job Summary
We are seeking a highly skilled Data Engineer with expertise in Databricks, Apache Spark, and Scala/Python to join our dynamic team in London on a contingent worker basis. The ideal candidate will have hands-on experience in data engineering, along with experience or a strong understanding of data governance. You will play a key role in designing and implementing robust data pipelines and ensuring compliance with data governance best practices.
Key Responsibilities:
Quanteam Group is a Consulting firm specialized in the Capital Markets industry, in Paris, London, Krakow, Brussels, New York and North Africa.
Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation.
The firm mainly takes part in:
Location: London – Hybrid working
Full Time Contract – Long term engagement
Job Summary
We are seeking a highly skilled Data Engineer with expertise in Databricks, Apache Spark, and Scala/Python to join our dynamic team in London on a contingent worker basis. The ideal candidate will have hands-on experience in data engineering, along with experience or a strong understanding of data governance. You will play a key role in designing and implementing robust data pipelines and ensuring compliance with data governance best practices.
Key Responsibilities:
- Develop, optimize, and maintain big data pipelines using Databricks and Apache Spark.
- Write efficient, scalable, and maintainable Scala/Python code for data processing and transformation.
- Collaborate with data architects, analysts, and business teams to understand data requirements.
- Ensure data quality, lineage, and security within data platforms.
- Work with structured and unstructured data from multiple sources, integrating them into a unified data lake.
- Optimize performance of big data workflows and troubleshoot data processing issues.
- Document technical processes, best practices, and governance policies.
- 5+ years of experience in data engineering with a focus on Databricks and Apache Spark.
- Strong programming skills in Scala and/or Python.
- Experience or a strong understanding of data governance, metadata management, and regulatory compliance.
- Knowledge of cloud platforms (Azure, AWS, or GCP) for big data processing.
- Experience with Delta Lake, Lakehouse architecture, and data cataloging.
- Strong understanding of ETL/ELT pipelines, SQL, and NoSQL databases.
- Familiarity with data security, privacy standards (GDPR, ISO, etc.), and access controls.
- Excellent problem-solving and communication skills.
- Banking Experience is must
Quanteam Group is a Consulting firm specialized in the Capital Markets industry, in Paris, London, Krakow, Brussels, New York and North Africa.
Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation.
The firm mainly takes part in:
- Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organizational Transformation & Process Improvement.
- IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Software (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation.
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