Moonpig - Data Engineering Manager
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Requirements
• Skills needed: Data Engineering Manager role requires skills in managing and leading a team of engineers to design, develop, deploy, maintain, and optimize data solutions. The candidate should have strong leadership abilities, excellent communication skills, problem-solving capabilities, project management experience (preferably with Agile methodologies), knowledge of big data technologies such as Hadoop/Spark, cloud computing platforms like AWS or Azure, relational databases including SQL Server and Oracle, NoSQL solutions like MongoDB, expertise in ETL processes using tools like Pentaho Kettle, Talend Open Studio for Data Integration (ODIs) etc. • Years of experience: The ideal candidate should have at least 5 years' professional data engineering or related managerial experience with a proven track record leading teams and delivering successful projects on time and within budget. Experience in managing cross-functional teams, working across different departments (e.g., IT operations, business analytics) is highly desirable but not mandatory. • Education: A Bachelor's degree or higher in Computer Science/Data Management/Engineering with a strong foundation in mathematics and statistics would be preferred for this role; however, equivalent experience may also qualify an applicant if it can demonstrate the required skills and knowledge to perform effectively as Data Engineering Manager at Moonpig. • Certifications: While not explicitly stated, having certifications such as AWS Certified Solutions Architect or Azure Professional Developement Associate could be beneficial for this role but are not mandatory requirements. • Must-haves: Strong leadership skills and excellent communication abilities to effectively manage a team of engineers across different departments within the organization, along with problem-solving capabilities that can handle complex data engineering challenges in real time is essential for success in this role at Moonpig.
Responsibilities
• Lead and manage a team of data engineers working on our core data platform. • Set technical direction and strategy across data infrastructure, data architecture, and data modelling, ensuring we build the right solutions in the right way. • Own and evolve our data models and data architecture, ensuring they are scalable, well-governed, and aligned with business needs. • Build and maintain scalable, resilient data pipelines and systems, including an in-house event ingestion platform. • Define best practices for analytics engineering, data modelling, and schema design to support reliable reporting and downstream use cases. • Take ownership of data code, underlying infrastructure, CI/CD pipelines, and production monitoring. • Collaborate closely with data insights and analytics teams to develop and refine ML-driven analytics pipelines. • Work with stakeholders across the business to understand data requirements and translate them into reliable, accessible data solutions. • Ensure data quality, governance, security, and GDPR compliance across the data platform. • Support and grow engineers through mentoring, clear objectives, and our engineering growth framework.
Benefits
• We believe in empowering our team to do their best work. Enjoy: • 💸 Competitive Pay & Bonuses: Plus generous pension plans, staff discounts, and share schemes. • 💆🏾♀️ Wellbeing First: Private healthcare (UK), dental, life insurance, mental health support, and dog-friendly offices. • 🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (unless specified otherwise, 2 days a week in the office), and opportunities for international working. • 📈 Career Growth: Learning allowances, coaching, and development programs. • 🤝 Recognition & Giving Back: Regular awards, charity support, length of service awards, and volunteering days. • Want to see more? • Check out our Linked In pages below: • Red Letter Days • Our Ways of Working: • We trust you to do what’s right, providing flexibility to balance work and life. We believe in giving you permission to innovate and focus on delivering meaningful results. We understand that effective ways of working are unique to each individual, role, and team, and we’re committed to supporting and discussing your specific needs throughout the interview process and beyond. Unless specified otherwise, most of our team works from the London office 2 days per week as part of our hybrid approach. • Moonpig Group's Commitment to Equality, Diversity, and Inclusivity: • At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us. • From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we. • We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. • We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves. • If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so😊 - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.
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