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- Tasks: Lead a team to build and scale our data infrastructure for customer product catalogues.
- Company: Join 15gifts, a Brighton-based leader in guided e-commerce, empowering global brands.
- Benefits: Enjoy 25 days holiday, healthcare perks, life insurance, and enhanced parental leave.
- Why this job: Be part of an innovative culture focused on growth and developing cutting-edge technology.
- Qualifications: Proven experience in data engineering, team management, and proficiency in Python and cloud platforms.
- Other info: Diversity is key to our success; we welcome all applicants.
The predicted salary is between 54000 - 84000 £ per year.
15gifts is a private equity backed, Brighton-based company, we pride ourselves on fostering a culture that celebrates brilliance, encourages ownership, and champions continuous innovation. Our products empower customers of leading global brands like Verizon, Vodafone, O2, Three and Tesco Mobile to make confident decisions online. Building on our 12 years as market leader in guided e-commerce, we’re now entering an exciting new growth stage. We’re on a mission to create a virtual sales agent that performs better than a human sales agent.
We’re looking for a Data Engineering Manager to lead a small team in building a key part of our data infrastructure - evolving and scaling the ingestion of customer product catalogues into our internal systems.
People Management:You will lead and mentor a small team of Data Engineers, fostering a high-performance culture by guiding their professional growth and ensuring effective communication within the team and with stakeholders. As a confident individual contributor, you will take ownership of project briefs, effectively elicit requirements, and design robust architectural plans. You will also champion the importance of thorough testing and ensure alignment with stakeholder expectations throughout the development process.
Technology Leadership:You will guide strategic decision-making regarding technology and architecture, ensuring solutions are scalable, cost-effective, and flexible enough to meet diverse customer needs. This involves a strong understanding of engineering trade-offs, collaborative design, and proactive roadmap planning, with an openness to exploring innovative solutions like generative AI where appropriate.
We work with an Airflow / AWS / Fivetran / Snowflake / Looker stack and typically use Python and Docker in our pipelines. You’ll need to be highly proficient in these or similar tools and comfortable navigating a modern data ecosystem.
- Experienced and passionate about ELT projects, data modelling, and big data
- Excited to lead and develop our data engineering talent
- Managing, mentoring, and supporting a team of data engineers
- Collaboratively developing and agreeing on architecture plans and data flows
- Building and maintaining high-quality data pipelines and self-service tools
- Writing robust, automated tests to ensure data integrity and quality
- Promoting data governance through documentation, observability and controls
- Proven experience managing and mentoring data engineering teams
- Strong commercial experience in a senior data engineering role
- Comfortable owning and delivering technical projects end-to-end
- Deep understanding of the full data lifecycle and ELT patterns
- Skilled at working with large datasets and optimising data flows
- Experience with Airflow, AWS, Fivetran, Snowflake, Docker (or similar)
- Strong in Python, SQL, and cloud platforms (AWS or comparable)
- Experienced in handling real-time data pipelines
- Experienced in evolving data pipelines over time to meet new business requirements
Diversity is incredibly important to us. Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care) ~ Life Insurance scheme ~25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years) ~ Employee Assistance Programme (confidential counselling) ~ Enhanced parental leave and pay ~ Referral programme
Data Engineering Manager (Permanent) employer: 15gifts
Contact Detail:
15gifts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (Permanent)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Airflow, AWS, Fivetran, Snowflake, and Docker. Having hands-on experience or projects that showcase your proficiency in these tools will set you apart from other candidates.
✨Tip Number 2
Highlight your leadership skills by preparing examples of how you've successfully managed and mentored teams in the past. Be ready to discuss your approach to fostering a high-performance culture and how you've guided team members in their professional growth.
✨Tip Number 3
Showcase your understanding of the full data lifecycle and ELT patterns by discussing relevant projects during your interview. Be prepared to explain how you've optimised data flows and handled large datasets in previous roles.
✨Tip Number 4
Demonstrate your strategic thinking by being ready to discuss how you would approach technology decision-making and architectural planning for the company's data infrastructure. Think about innovative solutions, like generative AI, that could enhance their current systems.
We think you need these skills to ace Data Engineering Manager (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies like Airflow, AWS, and Python. Emphasise your leadership skills and any experience managing teams, as this role requires strong people management.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and your excitement about leading a team. Mention specific projects or achievements that demonstrate your ability to manage and mentor others, as well as your technical expertise.
Showcase Your Technical Skills: Be sure to include specific examples of your experience with data pipelines, ELT processes, and the tools mentioned in the job description. Highlight any innovative solutions you've implemented, especially if they relate to generative AI or similar technologies.
Demonstrate Cultural Fit: 15gifts values a culture of brilliance and innovation. In your application, reflect on how you embody these values. Share experiences where you've fostered a high-performance culture or contributed to continuous improvement within a team.
How to prepare for a job interview at 15gifts
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be leading a team. Be prepared to discuss your experience in managing and mentoring data engineers. Share specific examples of how you've fostered a high-performance culture and guided team members in their professional growth.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technologies mentioned in the job description, such as Airflow, AWS, Fivetran, Snowflake, and Docker. Be ready to discuss your hands-on experience with these tools and how you've used them to build scalable data pipelines and manage large datasets.
✨Discuss Your Approach to Data Governance
Data governance is crucial for maintaining data integrity and quality. Prepare to explain your strategies for promoting data governance through documentation, observability, and controls. Highlight any past experiences where you successfully implemented these practices.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in previous roles, particularly related to evolving data pipelines or managing technical projects, and how you overcame them.
