Data Engineer – Data Lakehouse Job, London

Data Engineer – Azure Data Lakehouse, Databricks, Kimball

• London
• Full-time
• Competitive salary

As the Data Engineer, you will lead the data engineering functions for a tier 1 design & engineering firm. With a huge data landscape, lots of investment into data capabilities and the aim to stay at the bleeding edge of digital engineering and data innovation, this a great opportunity for a senior Data Engineer to be a key stakeholder in that journey. Projects will include the build-out of a new Data Lakehouse for next-gen ML/AI Analytical Engineering and BI, for example.

The Company
Established 50 years ago, tier 1 global, multi-disciplinary design and engineering consultancy with almost 1,000 people working across 21 offices across the globe.

Data Engineer Job Role
This is a fantastic opportunity to lead the data functions including implementing and owning a new Data Lakehouse, Data Architecture and R&D. You will be responsible for data governance, assurance, architecture, analysis and reporting functions, and shape how data is used across the business, in a highly visible position.

Data Engineer Job: Required Skills:

• Azure (Data Lake, Key Vault)
• Kimball Data Modelling
• Databricks (SQL, Python)
• Azure Synapse Analytics (Serverless, Pipelines)
• Power BI Modelling & Visualisation

Data Engineer Job: Responsibilities:

• Lead the company data function, responsible for all operational management of data systems.
• Set out the function strategy & roadmap and lead data transformation and change programmes.
• Development and deployment of enterprise data and analytics capabilities.
• Manage Stakeholder relationships at all levels across the business and understand and align their data requirements.
• Be the authority on the value of enterprise information assets and the analytics used to create insights for both decision-making and business-wide reporting.
• Define information strategy practices and ensure the ongoing relevance of the information strategy in collaboration with the CIO, and Global Head of IT.

Data Engineer Job Accountabilities:

• Lead the company data function, responsible for all operational management of data systems.
• Set out the function strategy & roadmap and lead data transformation and change programmes.
• Development and deployment of enterprise data and analytics capabilities.
• Manage Stakeholder relationships at all levels across the business and understand and align their data requirements.
• Be the authority on the value of enterprise information assets and the analytics used to create insights for both decision-making and business-wide reporting.
• Define information strategy practices and ensure the ongoing relevance of the information strategy in collaboration with CIO and Global Head of IT.

Data Engineer Job Management & Operational Accountabilities:

• Organise and lead a data and analytics centre of excellence. Define member responsibilities and accountabilities for both.
• Develop the enterprise’s capacity to develop insights with advanced analytics. Develop data science competencies and resources within the business for the corporate exploitation of big data sets and sourced data as well as opening access to hidden/unexplored data, using a combination of open source, cloud and other tools and techniques for data analytics, machine learning, mining and visualisation.
• Lead the development, publication and maintenance of the corporate information architecture, as well as a roadmap for its future development that matches and supports business needs.
• Measure master data and reference data for compliance to policy standards and conceptual models. Assure the deployment and management of data quality monitoring practices.
• With the IT Leadership, oversee the integration and staging of data, and the development and maintenance of the data lakes, data structures and data lineage, for use by analysts throughout the organisation.
• Partner with the supply chain to scan the horizon for emerging management tools, skills, techniques and technologies, and ensure their timely introduction for competitive advantage.
• Facilitate the evolution to self-service analytics and data preparation.
• Lead on application data integrations, utilising APIs and Azure toolsets.

Data Engineer Desired Education:

• Ideally a bachelor’s or master’s degree in computer science, data science, information science or a related field, or equivalent work experience.
• Academic qualification or professional training and experience in financial or accounting areas are also desirable.

Apply today to discuss this amazing opportunity in confidence.

Energi People are specialists in Data Engineering Recruitment in Digital Construction