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Senior - Lead Data Engineer

Morgan McKinley

London

On-site

GBP 50,000 - 90,000

Yesterday

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An established industry player in Financial Services is seeking a Senior Data Engineer to join their innovative team. This role offers a unique opportunity to design and optimize data pipelines while leveraging cutting-edge technologies. You will collaborate with Data Scientists and Analysts to ensure seamless data flow and uphold data quality standards. If you are passionate about data engineering and thrive in a fast-paced environment, this position will allow you to make a significant impact on high-profile projects while advancing your career in a stimulating workplace.

Proven experience as a Data Engineer, preferably in a senior role.
Strong expertise in ETL development and data pipeline orchestration.

Design, build, and maintain scalable ETL pipelines for large datasets.
Develop and optimise SQL queries to support analytics and reporting.

ETL Development

Python

SQL

Data Pipeline Orchestration

Problem-Solving

Bachelor's Degree in Computer Science or related field

Apache Airflow

Spark

Kafka

AWS

Azure

GCP

About the job

About the Role:

My FS Client are looking for a talented Senior Data Engineer with expertise in ETL, Python, and SQL to join their dynamic team. You will play a key role in designing, developing, and optimising data pipelines, ensuring the seamless flow of data across the organisation. This is an exciting opportunity to work with cutting-edge technologies and contribute to high-impact projects in a data-driven environment. The client operates in the Financial Services sector, providing a stimulating and fast-paced work environment.

Key Responsibilities:

Design, build, and maintain scalable ETL pipelines to process large datasets efficiently.
Develop and optimise SQL queries and database structures to support analytics and reporting needs.
Leverage Python for data transformation, automation, and integration with various data sources.
Work closely with Data Scientists, Analysts, and other stakeholders to understand data requirements and deliver solutions.
Ensure data quality, governance, and security best practices are followed.
Troubleshoot performance issues and implement solutions to enhance system efficiency.
Stay up to date with industry trends and emerging technologies in data engineering.

Key Skills & Experience:

Proven experience as a Data Engineer, preferably in a senior role.
Strong expertise in ETL development and data pipeline orchestration.
Proficiency in Python for data engineering tasks.
Advanced SQL skills, including query optimisation and database performance tuning.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tools.
Knowledge of data modelling, warehousing, and big data technologies.
Strong problem-solving skills and the ability to work in a fast-paced environment.

Desirable Skills:

Experience with tools such as Apache Airflow, Spark, or Kafka.
Familiarity with data governance and compliance frameworks.
Exposure to DevOps and CI/CD practices for data engineering.

If you are passionate about data engineering and eager to take on a challenging and rewarding role, we would love to hear from you!

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