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You will be updated with latest job alerts via emailAre 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. Were an inclusive community for the curious generous pragmatic and committed digital practitioner. Youll 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.
Youll 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 crossfunctional Agile teams and you are familiar with Scrum ceremonies.
Youll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include PlatformasaService components and perhaps even serverless and container technologies.
Apply today by completing our online application.
Qualifications :
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 opensource equivalence will be suitable.
As an Lead Data Engineer youll have experience leading teams to design build and maintain large scale data solutions and applications using AWS data and analytics services (or opensource 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 endtoend 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.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
Additional Information :
Benefits
Flexible working We are guided by our client work and needs; however you have autonomy to manage your time and diary to suit your work/life balance.
PA is committed to building an inclusive and supportive culture where diversity thrives and all of our people can excel. We believe that greater diversity stimulates innovation enabling us to fulfil our purpose of Bringing Ingenuity to Life supporting the growth of our people and delivering more enduring results for our clients.
We only recruit promote and reward our people based on their contribution without regard to gender race disability religion nationality ethnicity sexual orientation age or marital status.
We welcome international applications but we are unable to offer sponsorship for work permits so you will need to have the full right to live and work in the UK. Unfortunately your application will be automatically rejected if you do not have these rights.
Remote Work :
No
Employment Type :
Fulltime
Full-time