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Senior/Lead Data Engineer

This role is for a Senior/Lead Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include ETL, Python, SQL, and experience in the Financial Services sector. Cloud platform knowledge is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
0
🗓️ - Date discovered
February 23, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
London
🧠 - Skills detailed
#Spark (Apache Spark) #Big Data #Security #Data Science #Datasets #GCP (Google Cloud Platform) #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #SQL Queries #Data Governance #Data Pipeline #Data Quality #Azure #Compliance #DevOps #Database Performance #SQL (Structured Query Language) #Airflow #Cloud #Automation #Apache Airflow #Python #AWS (Amazon Web Services) #Scala #Data Engineering
Role description
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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!