Lead Data Engineer

Experis; Glasgow; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading tech consultancy is seeking a Lead Data Engineer in Glasgow to build and maintain data architectures and pipelines while leading a team towards innovative data solutions. The role emphasizes collaboration with data scientists and adherence to security measures, ideal for candidates experienced in data engineering and team leadership.

Qualifications

• Experience with data architecture and building data pipelines.
• Proficiency in data analysis and machine learning algorithms.
• Ability to lead teams and influence cross-functional collaboration.

Responsibilities

• Build and maintain data architectures and pipelines.
• Collaborate with data scientists for machine learning model deployment.
• Manage compliance with security measures and governance.

Skills

Data architecture

Data pipeline development

Machine learning

Team leadership

Stakeholder management

Job description

Role Title: Lead Data Engineer Location: Glasgow Duration: 31/12/2026 Work Setup: 2-3 days onsite Rate: 400 per day - PAYE via Umbrella Only

Role Description

Join us as a Lead Data Engineer. This role will focus on building pipelines for accounts, event streaming in real time. Your role will be to lead one our teams, setting standards, reviewing code, and reviewing what our colleagues build.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures.
• If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.