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- Tasks: Lead a team to build and scale data infrastructure for a virtual sales agent.
- Company: 15gifts is a Brighton-based company revolutionising guided e-commerce for global brands.
- Benefits: Enjoy healthcare perks, generous holiday, life insurance, and enhanced parental leave.
- Why this job: Join a culture of innovation, mentorship, and collaboration while tackling complex data challenges.
- Qualifications: Experience in managing data engineering teams and strong skills in Python, SQL, and cloud platforms.
- Other info: Diversity is valued; apply even if you don't meet every requirement.
The predicted salary is between 48000 - 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. This role blends people management, individual contribution, and technology leadership.
- 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.
- Individual Contribution: As a confident individual contributor, you will take ownership of project briefs, effectively elicit requirements, and design robust architectural plans.
- 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.
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.
The person we’re looking for:
- Passionate about designing and delivering solutions to complex problems
- Curious with a desire for continuous learning
- Friendly, with a collaborative and pragmatic approach to problem-solving
- Excellent communicator across technical and non-technical audiences
- Self-motivated and self-managing, with great organisational skills
- Comfortable expressing your views and listening to others, as the situation requires
- Experienced and passionate about ELT projects, data modelling, and big data
- Excited to lead and develop our data engineering talent
You’ll be responsible for:
- Managing, mentoring, and supporting a team of data engineers
- Serving as a subject matter expert
- Gathering use cases and requirements from stakeholders across the business
- Translating use cases, pain points and success criteria into technical requirements
- 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
- Troubleshooting, resolving issues, maintaining operational stability and responding to incidents
- Championing tools, standards, and best practices within the team
Skills and experience:
- 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
- Comfortable evaluating both business and technical requirements
- 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. Research shows how people from marginalised groups are less likely to apply for a job unless they meet every requirement. However, these accountabilities are a guide, and, if you feel like this role could be for you and you don’t meet every criteria, please do apply. We’d love to hear from you.
Benefits include:
- 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 (Brighton) employer: 15gifts
Contact Detail:
15gifts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (Brighton)
✨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 relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed and mentored teams in the past. Highlighting your ability to foster a high-performance culture will resonate well with the hiring team.
✨Tip Number 3
Be ready to discuss your approach to problem-solving, especially in complex data engineering scenarios. Prepare to share specific instances where you've designed robust architectural plans or optimised data flows.
✨Tip Number 4
Demonstrate your passion for continuous learning and innovation. Mention any recent courses, certifications, or projects that reflect your commitment to staying updated with the latest trends in data engineering and technology.
We think you need these skills to ace Data Engineering Manager (Brighton)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, team management, and the specific technologies mentioned in the job description, such as Airflow, AWS, and Python. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and leadership. Mention specific projects or experiences that demonstrate your ability to manage teams and deliver technical solutions. Show how your values align with the company's culture of innovation and collaboration.
Showcase Your Technical Skills: Include a section in your CV or cover letter that details your proficiency with the tools and technologies listed in the job description. Provide examples of how you've used these tools in past projects, particularly in building data pipelines or managing large datasets.
Highlight Soft Skills: Since the role requires strong interpersonal skills, make sure to highlight your communication abilities and experience in mentoring others. Provide examples of how you've fostered a high-performance culture in previous roles, as this will resonate well with the hiring 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 teams, highlighting specific examples where you've fostered a high-performance culture and guided professional growth.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as Airflow, AWS, Fivetran, Snowflake, and Python. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role.
✨Communicate Effectively
You'll need to communicate with both technical and non-technical stakeholders. Practice explaining complex technical concepts in simple terms, and prepare to share examples of how you've successfully navigated communication challenges in previous roles.
✨Emphasise Problem-Solving Abilities
The role requires a collaborative and pragmatic approach to problem-solving. Prepare to discuss specific challenges you've faced in data engineering and how you approached them, focusing on your thought process and the solutions you implemented.
