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Lead Data Engineer
## Lead Data Engineer at Hackajob & TPXimpact
## Collaboration with TPXimpact Hackajob is collaborating with TPXimpact to connect them with exceptional professionals for this role.
## About the Role
We’re seeking a Lead Data Engineer to join our Data Engineering and Analytics practice.
Key Responsibilities
- Lead the design, development, management, and optimisation of data pipelines to ensure efficient data flows and maximise opportunities for data reuse.
- Coordinate teams, set best practices, and develop standards in data engineering principles.
- Champion data engineering across projects and clients.
#### Leadership & Delivery
- Lead by example, fostering a team culture that delivers high impact for clients.
- Be accountable for the strategic direction, delivery, and growth of projects.
- Guide teams, workstreams, and commercial outcomes, 덮 ownership of decision-making.
- Navigate and manage uncertainty and ambiguity on behalf of both clients and teams.
- Ensure inclusivity in team and project leadership.
- Clearly articulate the story of our work, aligning progress with client goals and internal mission.
- Optimise value delivery, balancing time, budget, and stakeholder expectations.
- Execute strategic project planning with clear methodologies and approaches.
- Elevate ideas through writing, speaking, and presentations.
#### Dimensions of the Role
- Headcount: Typically leads a multidisciplinary team (5-15) or multiple workstreams.
- Resource Complexity: Provides leadership across multiple domains, ensuring delivery coordination, prioritisation, and quality oversight (often supervising junior leads or specialists).
- Problem-Solving: Addresses highly complex problems, balancing technical, user, business, and operational needs with expert judgement.
- Change Management: Leads or co-leads significant transformation initiatives, managing stakeholder expectations and embedding sustainable processes.
- Internal/External Engagement: Acts as a trusted partner to clients and internal stakeholders, leading workshops, presentations, and engagement strategies.
- Strategic Timeframe: Works on mid- to long-term (6-12 months) projects, ensuring near-term deliverables support broader objectives.
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## About You
Professional Experience & Skills (Essential)
✔ Proven experience in data engineering, data integration, and data modelling. ✔ Expertise in cloud platforms (AWS, Azure, GCP). ✔ Proficiency in modern cloud data platforms (Microsoft Fabric, Databricks). ✔ Experience with data analytics tools (e.g., Power BI). ✔ Deep understanding of data warehousing, ETL/ELT pipelines, and dimensional modelling. ✔ Proficiency in advanced programming languages (Python/PySpark, SQL). ✔ Experience in data pipeline orchestration (e.g., Airflow, Data Factory). ✔ Familiarity with DevOps and CI/CD practices (Git, Azure DevOps, etc.). ✔ Ability to translate technical concepts for both technical and non-technical audiences. ✔ Proven delivery of complex projects in fast-paced environments with tight deadlines.
Desirable Attributes
✔ Advanced knowledge of data governance, standards, and best practices. ✔ Consultancy experience, with adaptability to client needs. ✔ Ability to define and enforce data engineering frameworks and reusable patterns. ✔ Professional certifications in relevant technologies (e.g., Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer).
Core Skill Areas
Data Development Process
- Design, build, and test scalable, complex data products.
- Lead cross-functional teams in delivering high-performance, reusable data integration pipelines.
- Collaborate with architects to align solutions with enterprise data strategies.
Data Engineering & Manipulation
- Partner with analysts, data scientists, and engineers to design and deploy high-impact data products.
- Implement data cleansing and preparation strategies, ensuring reusable processes.
- Optimise data pipelines and queries for performance and cost efficiency in distributed environments.
Testing
- Define test conditions for data product integration, and support team execution.
- Identify and mitigate risks and issues in complex data workflows.
- Report on system test activities for audit, review, and improvement.
Additional Competencies
- Build and maintain complex data models (conceptual, logical, and physical).
- Adhere to data governance and metadata management principles.
- Demonstrate data integration expertise.
- Develop efficient, maintainable code for large-scale systems.
- Experience with CI/CD pipelines, version control, and IaC (Git, Azure DevOps).
- Track record of stakeholder communication with business-friendly technical clarity.
- Strong ability to mentor teams and foster a high-performing data engineering culture.
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## Behaviours & PACT Values We believe the best work thrives within a culture shaped by our five values:
- Purpose: “Data-driven for a better future”. Prioritise client needs, deliver with creativity, and balance operational and commercial realities.
- Accountability: Fulfil commitments with excellence; champion a culture where quality and client-centricity guide every decision.
- Craft: Master multipriority leadership while driving technical and strategic excellence.
- Togetherness: Collaborate extensively with colleagues and clients, building strengthening relationships through empathy and shared goals.
## About TPXimpact: Digital Transformation
We drive scalable, people-powered change in product development, delivery, and technology. Our multidisciplinary agile teams empower clients to create meaningful outcomes—for individuals, communities, and organisations—while leaving lasting capabilities.
Inclusivity is central to who we are. If you require accessible accommodations during your interview, please disclose them in your application.
## Benefits & Rewards TPXimpact offers a compelling benefits package, reflecting our commitment to your growth and well-being:
- 30 days’ holiday + bank holidays.
- 2 volunteer days for causes you believe in.
- Maternity/paternity:
- 6 months paid maternity leave,
- 3 months paid paternity leave.
- Life assurance.
- 5% employer pension contribution.
- Health cash plan.
- Personal learning & development fund.
- Employee Assistance Programme.
- Share-Incentive Plan (equity opportunities).
- Eco-friendly work incentives, including Electric Vehicle Leasing and the Cycle to Work Scheme.
- Financial advice.
- Health assessments.
Join us as we build a sustainable future, together.
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