We are seeking a skilled and passionate Manager in Data Engineering / Analytics to lead a portfolio of client accounts and technical delivery projects. You will be accountable for departmental performance , resource utilisation , and client satisfaction across a range of data engineering engagements. This role blends technical oversight , people leadership , and consulting acumen to drive high-impact data platform solutions for our clients.
You'll guide teams in building modern data infrastructure through cloud-native platforms and ensure SLAs / KPIs are met for our AMS clients, while empowering consultants to thrive and grow. As a trusted escalation point and practice leader, you'll uphold our high consultancy standards, foster a collaborative team environment, and contribute to strategic business development.
Key Responsibilities :
Project Delivery (Data Engineering Focus)
- Support end-to-end delivery of data engineering projects (Databricks, Snowflake) —data platforms, pipelines—ensuring they meet commercial, quality, and timing goals.
- Oversee AMS processes, ensuring all SLAs and KPIs are met or exceeded.
- Ensure best practices are followed in governance, service delivery, and team leadership.
Consulting Mindset
Shape proposals and accelerators in data engineering—e.g., reusable ingestion frameworks, ELT templates, infrastructure-as-code solutions.Act as a strategic partner to clients, advising on data platform strategy, architecture, and modernisation roadmaps.Client Engagement & Relationship Management
Cultivate relationships with data and technology leaders, understanding their strategic data challenges.Guide clients through complex decisions around platform design, tooling selection, and scalability.Translate successful deliveries into ongoing partnerships and multi-phase platform engagements.Collaboration & teamwork
Lead, mentor, and grow a team of data engineers, ensuring continuous professional development and technical excellence.Foster a culture of collaboration, innovation, and accountability.Partner with other practices to deliver integrated, cross-functional solutions.Operational Excellence
Set portfolio-wide KPIs and monitor timing, cost, and quality objectives.Monitor and enforce timing, cost, and quality delivery objectives.Proactively resolve escalations before they affect outcomes.Requirements
Required Qualifications :
Bachelor's or Master's in a related technical field.Minimum 10 years of experience as a Manager, Senior Data Consultant or Senior Data Engineer.Knowledge of ITIL and AMS delivery processes.Proven experience in team management and people leadership.Excellent stakeholder and problem-solving abilitiesExcellent oral and written communication abilitiesPreferred Qualifications :
Solid understanding of data warehousing, ETL, and data modelling principles.Understanding of data visualization and reporting tools such as Tableau or Power BI.Strong communication skills and the ability to work effectively in a team environment.Benefits
Everyone who joins our team is treated as a trusted member of the team, not a number. Ultimately your success is our success, so we invest in our People heavily.
Here are the top reasons to join us :
Developing you is a key focus - we help you craft your careerPioneers in Parental Leave benefits - we provide equality in our parental leave for all genders and parental typesDoona Days - additional two days off for your mental healthFun is an everyday experience - we challenge you in a positive way so you enjoy your growth journeyCompetitive Compensation & Pay for PerformanceOpportunities to be more for yourself and othersSkills Required
Data Modelling, Power Bi, Data Warehousing, Tableau, Itil, Pipelines, snowflake , Data Visualization, Databricks, Etl