Data Engineer – Consulting Firm – FS

Role: Data Engineer – Financial Services

Client: Global Consulting Firm

Location: London & remote

Salary: 50k to 73k + Performance Bonus + benefits

Key responsibilities

• Supporting the senior leadership team in managing client engagements from strategy development to end-to-end deliverable creation. Managers will run a project or workstream, creating novel data solutions to address complex client problems.
• Acting as the main day-to-day contact for clients, building strong relationships with senior stakeholders;
• Managing small project teams and inspiring others to solve problems, under pressure, end-to-end with data
• Working with stakeholders and wider data teams, managers contribute to internal innovation through designing and building analytics and digital assets for to reuse and commercialise in the market;
• Supporting senior management to identify opportunities to embed advanced data and analytics use cases in wider business transformation propositions;
• Acting as a “data translator”: communicating compelling business stories to non-technical stakeholders based on deep analytical insight;
• Being a “data influencer” – proposing and recommending ways in which we can continuously improve with awareness of the latest techniques and technologies;
• Working as part of a multi-disciplinary team of data specialists, strategists, experience consultants and technology gurus to deliver great client outcomes through complex strategy-led and technology-led transformation programmes.

Requirements

As a data engineer you will have a proven track record of designing and delivering data management solutions in complex client environments. You will be responsible for working with client stakeholders to understand their current data landscapes, identify areas for improvement and make recommendations and proposals to deliver improved client data management.

Essential requirements for this role:

Candidates must have demonstrable practical project experience (professional, academic or personal), able to demonstrate the following skills:

• Part of delivery of solutions through the full lifecycle of a enterprise data platform implementation, including data warehouses, Big Data, MDM and DQM/ data profiling;
• Experience of design and implementation of Information Strategy, Information Architecture and Governance projects to ensure the security, integrity, and availability of information with appropriate technical documentation and QA activities;
• Able to articulate complex data concepts to both technical and non-technical audiences including “storytelling” through data visualisation;
• The intellectual curiosity and drive to seek out, learn, and then apply new data techniques and tools in a fast paced environment
• Show experience in owning client relationships and managing them throughout the engagement lifecycle;
• Commercially curious: we want you to be able to understand a business area and its strategic outcomes, the business processes and metrics that drive performance;

Technical skills required:

• Foundational understanding of Data & Analytics Architectures, definition of KPIs / metrics and insight requirements
• You should have good delivery knowledge in at least one of the following vendors: SAP Business Analytics, Oracle, Cognos, Informatica, IICS, SSIS, Data warehouse and Data management vendors. Certification desirable.
• Proficient in SQL and performance tuning of queries: ensuring solutions are both scalable and maintainable
• Practical knowledge of core data modelling, manipulation and visualisation skills- for example using tools such as Excel, Alteryx, PowerBI/Tableau/Qlik

Subject matter expertise:

• Proven experience in applying Data Management tools and techniques in at least one of the following areas:
• Data warehousing, including managing data in hybrid environments
• Open Data Integration using APIs to share and exchange data
• Microsoft Azure data capabilities such as Synapse

“Nice to have” skills for this role:

• Experience working with cloud platforms or accreditation (Azure, AWS, GCP);
• Experience in Agile delivery and Agile techniques, such as Scrum and Kanban;
• Experience with Palantir, Foundry
• Knowledge of SQL/NoSQL data storage mechanisms;
• Experience of working with big data technologies such as Hadoop, Presto, Redshift, Spark or similar;