Data Engineering Lead (Snowflake & AWS Environment)

Middlesex
10 months ago
Applications closed

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Data Engineering Lead (Snowflake & AWS Environment)

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 within a FTSE 100 company for a Data Engineering Lead to play a pivotal role in operating and delivering the organisation's data products. 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.

This is an exciting to time to join the organisation as 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. The Data Engineering Lead will be essential to the success of this transformation.

Using your strong communication skills combined with AWS and Snowflake technical expertise, you will be responsible for managing and guiding 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)
·Expert in data engineering practice on cloud data platforms (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!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

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