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Data Engineering Lead

JR United Kingdom

London

Hybrid

GBP 59,000 - 70,000

Full time

Yesterday
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Job summary

An established industry player is seeking a Data Engineering Lead to spearhead a transformative data project. This role is pivotal in modernizing data infrastructure, migrating to a cloud-native environment, and enhancing data solutions. With a focus on AWS and Snowflake, the successful candidate will lead a talented team of engineers, ensuring best practices in data engineering and fostering a culture of excellence. Join a dynamic team at a FTSE 100 company and make a significant impact on the organization's data strategy and operations. If you are ready for an exciting challenge, this opportunity is for you.

Qualifications

  • Proven experience in AWS and Snowflake with strong SQL skills.
  • Leadership experience in data engineering activities is essential.

Responsibilities

  • Lead the design and deployment of scalable data pipelines and architectures.
  • Manage and mentor a team of data engineers, ensuring collaboration.

Skills

AWS Services (S3, EC2, Lambda, Glue)
Snowflake
SQL
ETL Tools (e.g. Apache Airflow)
Streaming processing tools (e.g. Kinesis)
Data integration techniques
Problem-solving and analytical skills
Project management skills
Communication and collaboration skills

Job description

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Data Engineering Lead - AWS & Snowflake,

Hybrid working: 3 days in TW6, Middlesex offices & 2 days home/remote

Salary: Negotiable to £70,000 DOE plus 40 % bonus potential

Job Ref: J12869

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

An exciting opportunity has arisen with a FTSE 100 company for a Data Engineering Lead to play a pivotal role in delivering and operating the organisation’s data products. Reporting to the Head of Data, Insights & Operational Research, this position holds significant responsibility within the data leadership team, ensuring the data solutions and business processes are fully aligned and contribute to the vision and strategic direction of the organisation.

The successful candidate will join the team at an exciting time. They are in the early stages of a major programme of work to modernise their data infrastructure, tooling and processes to migrate from an on-premise to a cloud native environment and the Data Engineering Lead will be essential to the success of the transformation.

Using your strong communication skills combined with AWS and Snowflake technical experience you will be responsible for managing and developing a team of Data Engineers to develop effective and innovative solutions aligning to the organisation’s architectural principles and business needs. You will ensure the team adheres to best practices in data engineering and contributes to the continuous improvement of the data systems.

Key Responsibilities:

  • Lead the design, development, and deployment of scalable and efficient data pipelines and architectures.
  • Manage and mentor a team of data engineers, ensuring a culture of collaboration and excellence.
  • Manage demand for data engineering resources, prioritising tasks and projects based on business needs and strategic goals.
  • Monitor and report on the progress of data engineering projects, addressing any issues or risks that may arise.
  • Collaborate closely with Analytics Leads, Data Architects, and the wider Digital and Information team to ensure seamless integration and operation of data solutions.
  • Develop and implement a robust data operations capability to ensure the smooth running and reliability of our data estate.
  • Drive the adoption of cloud technologies and modern data engineering practices within the team.
  • Ensure data governance and compliance with relevant regulations and standards.
  • Work with the team to define and implement best practices for data engineering, including coding standards, documentation, version control.

Technical Skills Required:

  • Proven Engineering Experience using the AWS Services (S3, EC2, Lambda, Glue)
  • Proven Data warehousing Experience in Snowflake
  • Expert in SQL and database concepts including performance tuning and optimisation
  • Solid understanding of data warehousing principles, data modelling practice
  • Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis)
  • Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues
  • Proficient in data integration techniques including APIs and real-time ingestion
  • Excellent communication and collaboration skills to work effectively with cross-functional teams
  • Capable of building, leading, and developing a team of data engineers
  • Strong project management skills and an ability to manage multiple projects and priorities

Additional Experience:

  • Experienced and confident leadership of data engineering activities (essential)
  • Background in data analysis and preparation, including experience with large data sets and unstructured data (desirable)
  • Knowledge of AI/Data Science principles (desirable)

If you are seeking a fresh challenge to lead and take ownership of an exciting data engineering transformation project, then get in touch to find out more!

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