Lead Data Engineer

Are you up for the challenge of creating seamless user experiences from every angle?

Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner. You'll be leading teams who are collectively responsible for delivering functioning solutions to our clients. Junior members of the team will look to you for support, guidance and help with decisions.

You'll have:

Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Perform tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Work closely with other engineering teams to integrate data engineering component into production systems. Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration.

Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies.

You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies.

Apply today by completing our online application.

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Requirements

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a data engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. There are a variety of different tools, cloud technologies and approaches and while we have a preference for AWS tooling experience, open-source equivalence will be suitable.

As an Lead Data Engineer, you’ll have experience leading teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern AWS best practices. Your AWS experience spans data engineering, data science and product development projects, plus you will have an understanding of stream and batch processing.