As a Data Engineer, your responsibilities will include:

Overseeing the design and delivery of data transformation projects with clients. This will include: 

• Translating business requirements into technical specifications, helping to understand and create solutions to our clients key challenges.

• End-to-end planning, coordination and oversight of the project lifecycle including resourcing, scoping, architecting and delivery.

• Managing client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects and other business stakeholders during the lifecycle of a project.

• Supporting clients in developing their future plans and strategies for data.

• Collaborating with our wider Technology, Data and Analytics teams across the firm, whether that be locally or working with our alternative delivery teams (onshore and offshore).

• Taking an active role in coaching and developing skills in the team.

• Leading on initiatives to grow our business through the creation of new innovative solutions and propositions as well as relevant thought leadership.

• Promoting opportunities to enhance, disrupt and improve the way we work through the use of technology.

• Working to increase awareness of our Technology, Data & Analytics capabilities across our business and collaborating with a varied set of teams within the firm.

Essential skills & attributes:
•    You’ll have 4-5 years of hands on experience of data analytics solutions on cloud platforms (preferably Microsoft Azure but will consider other cloud experience such as AWS)
•    Well versed in data architecture approaches to ingest, model and serve data from various sources including structured and unstructured data sources. In addition you should also be comfortable in architecting the right solution, whether that is ELT or ETL.

Proven experience in architecting and implementing data solutions that include:

•    Modern data lakes and data warehouse solutions.
•    Data modelling - the ability to design and implement data models from conceptual through to physical which could include slowly changing dimensions or single customer views
•    Designing optimized and well functioning business intelligence solutions for different business functions (preferably Power BI but will consider other visualisation tools).
•    Experience of the design of the infrastructure elements of a cloud platform including the setup and implementation of DevOps, networking and security elements.
•    Strong business acumen in relation to Analytics, having had experience within at least one business area function (e.g Marketing, Sales, Finance, Workforce, Procurement etc.) 
•    Experience in adapting your communication style to help translate complex technical information to audiences unfamiliar with the technologies.
 
Project skills
•    Experienced in knowing how to shape, plan and estimate projects through either Waterfall or Agile methodologies.
•    Experienced in managing multiple analytics projects from ideation through to benefits realisation from a technical perspective.
•    Experience using Agile project management tools (DevOps, Trello, JIRA, Kanbanchi etc)