Data Engineer

hackajob is partnering directly with Accenture to hire for this role.

Job Title: Data Engineer with AI knowledge - Associate Manager

Salary: Competitive salary and package (Depending on level of experience)

Locations: London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout the UK on an ad hoc basis)

Please Note: Any offer of employment is subject to satisfactory BPSS and DV security clearance which typically requires 10 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application

Note: The above information relates to a specific client requirement

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

"Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO

Key responsibilities

- Deploy machine learning models to production and implement measures to monitor their performance

- Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice

- Define, document and iterate data mappings based on concepts and principles of data modelling

- Re-engineer data pipelines to be scalable, robust, automatable, and repeatable

- Navigate, explore and query large scale datasets

- Build processes supporting data transformation, data structures, metadata, ...