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- Tasks: Join a dynamic team to enhance video-on-demand analytics and lead data projects.
- Company: A high-growth media tech company in central Bristol, shaping the future of analytics.
- Benefits: Enjoy hybrid working, competitive salary, share scheme, and private health care.
- Why this job: Be part of exciting data-driven projects in a collaborative and innovative environment.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and familiarity with APIs.
- Other info: Opportunity for mentorship and professional growth while working with cutting-edge tools.
The predicted salary is between 43200 - 84000 £ per year.
A high-growth media tech company in central Bristol is looking to add an experienced, local Data Engineer to help shape the next era of video-on-demand analytics and contribute to the ongoing development of its industry-leading platform. This hybrid role offers the opportunity to work across its full technology stack, from data pipeline engineering to metadata enrichment in a collaborative and high-performing team. It’s ideally suited to someone who combines strong technical ability with proactivity, clear communication and organisational skills.
Competitive salary: up to £60k depending on experience
Benefits include:
- Hybrid working, 3 days a week in office
- Share scheme after 12 months
- Private Health Care
- A collaborative and innovative working environment
- Opportunities for professional growth and mentorship
- Exciting projects with a focus on data-driven solutions
Key Responsibilities:
- Collaborate with the research team to support day-to-day analytical projects
- Utilize SQL to enhance analytical efficiencies and interrogate respondent-level data effectively
- Lead the creation and maintenance of aggregated databases summarizing content performance for client reporting
- Own end-to-end project delivery, ensuring timely and accurate completion
- Mentor and guide junior analysts, fostering growth within the team
- Propose and implement innovative solutions to improve processes and outputs
- Stay updated with the latest analytics tools and methodologies to contribute to continuous improvement
Requirements:
- Ability to work in the central Bristol office for at least three days a week
- Demonstrable experience in a data-focused engineering role
- Deep experience with Python for data transformation
- Expert SQL abilities
- Experience working with Snowflake
- Comfortable working with and using Git, Github & Jira
- A deep understanding of working with third party APIs (REST and GraphQL)
- A detailed understanding of CI/CD practices & tooling
- A collaborative mindset & an interest in coaching & mentoring fellow engineers
Next Steps: If you have the skills and motivation for this role, we’d love to hear from you. Please send a CV ASAP! Next step would be a telephone call with John Reilly, the recruiter. Please indicate when you’d be available for that.
Data Engineer employer: Reilly People
Contact Detail:
Reilly People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the latest analytics tools and methodologies relevant to data engineering. This will not only help you in interviews but also demonstrate your commitment to continuous improvement, which is highly valued in our team.
✨Tip Number 2
Showcase your experience with Python and SQL by preparing examples of past projects where you've successfully transformed data or improved analytical efficiencies. Being able to discuss these in detail can set you apart from other candidates.
✨Tip Number 3
Highlight your collaborative mindset and any mentoring experiences you have. We value team players who can guide junior analysts, so sharing specific instances where you've helped others grow can make a strong impression.
✨Tip Number 4
Be prepared to discuss your familiarity with CI/CD practices and tooling. Understanding how to streamline processes is crucial for this role, and demonstrating your knowledge in this area can show that you're ready to contribute from day one.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python, SQL, and any tools mentioned in the job description like Snowflake. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven solutions and your ability to work collaboratively. Mention how your previous experiences align with the responsibilities of the role, especially in mentoring and project delivery.
Highlight Technical Skills: Clearly list your technical skills related to the job, such as your experience with Git, GitHub, Jira, and third-party APIs. Provide context on how you've used these skills in past projects to enhance your application.
Prepare for the Interview: Once you submit your application, prepare for a potential interview by reviewing common data engineering questions and thinking about how you can discuss your past projects and experiences effectively.
How to prepare for a job interview at Reilly People
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and any relevant tools like Snowflake. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've proposed and implemented innovative solutions in past roles. This will show your proactive mindset and ability to improve processes.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring junior analysts, be ready to talk about your experience in coaching others and working within a team. Highlight any collaborative projects you've been part of.
✨Stay Updated on Industry Trends
Research the latest analytics tools and methodologies before your interview. Being knowledgeable about current trends will demonstrate your commitment to continuous improvement and innovation.
