Data Engineer – Senior Manager – Consulting

Role: Data Engineer – Senior Manager (Permanent position)

Client: Global Consulting Firm

Location: London & remote

Salary: Competitive + benefits

Key responsibilities

• Taking a lead role in designing and scoping interesting data programmes to address complex client problems from strategy to execution:

• A senior manager will lead multiple workstreams or projects with multi-disciplinary teams of data specialists, strategists, experience consultants and technology gurus. Inspiring them to deliver great client outcomes through complex strategy-led and technology-led transformation programmes;

• Building and maintaining deep and long-lasting relationships with senior stakeholders;

• Develop new business and revenue streams through embedding advanced data and analytics use cases in wider business transformation propositions, supporting market development activities;

• Contribute to internal innovation for data and digital assets: visioning and leading new, creative ideas and concepts through to fruition.

• Intellectual curiosity – keeping up to date with the fast pace of change of data methodologies and technologies

• Being a “data influencer” – leading on data thought leadership with colleagues across the firm, bringing an awareness of the latest techniques and technologies;

• Caring passionately about the progression of the team working with and reporting to you: developing their technical competence and shaping their career paths; and

• Overseeing and being accountable for the performance of new and existing projects, programmes, contributing to sales activities, staffing, quality, risk and commercial management.

Requirements

• As an experienced 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.

• You will be able to demonstrate the ability to manage large, cross functional project teams and inspire others to solve problems, under pressure, end-to-end with data.

• Essential requirements for this role:

• Educated to degree level BSc/MSc/PHD in – for example – Computer Science, Mathematics, Engineering or other STEM.

• A strong team player with empathy, humility and dedication to joint success and shared development;

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

• Full lifecycle experience of scoping, managing and delivering D&A architectures and solutions including data warehouses, Big Data, MDM and DQM/ data profiling- leading teams of data engineers, data visualisation developers, and data architects to create data solutions which drive value;

• Strong commercial awareness through a deep understanding of business issues in specific sector, wider market trends and how efficient data integration and management can be used to develop sustainable value for the business;

• Able to clearly and confidently articulate the return on investment and benefits data solutions can bring to client stakeholders;

• Experience leading the transition from the strategic phase of data integration and management projects into delivery, including overall programme/project management of the delivery of data roadmaps, helping clients move from concept to reality;

• A track record of delivering quality engagements for clients whilst establishing and growing productive partnerships with internal or external clients;

Technical skills required:

• Very strong knowledge of one or more domains (e.g. Data Governance, Metadata Management, Data Quality, Document and Content Management, Master Data Management, Data Security..);

• Hands on experience in data governance technologies (such as Informatica)

• Practical knowledge of core data ETL and visualisation skills- for example using tools such as SQL and NoSQL databases, ETL tools (e.g. Snaplogic, 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:

• Accreditation in cloud platforms (Azure, AWS, GCP);

• Experience in Agile delivery and Agile techniques, such as Scrum and Kanban;

• Experience with Palantir, Foundry

• Experience working with clients to develop Enterprise-wide data and Integration strategies for business transformation, such as the adoption of data management practices, or the shift to cloud native 3rd party solutions