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- Tasks: Tackle complex data challenges in the sports industry using advanced analytics.
- Company: Join a dynamic organisation passionate about sports and data analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Combine your love for sports with data engineering to make impactful decisions.
- Qualifications: 4+ years in data-focused software development and strong programming skills in Python and SQL.
- Other info: Collaborative environment with a focus on innovation and teamwork.
The predicted salary is between 60000 - 80000 £ per year.
The organisation is seeking an individual with a strong interest in sport and data analytics, particularly someone motivated by the opportunities at the intersection of these areas. The ideal candidate will have experience in problem solving, data engineering, and stakeholder communication, with a background in a quantitative discipline (e.g. computer science, engineering, physics, statistics, or applied mathematics).
The role involves working within cross-functional teams to address complex challenges and support decision-making across the sports industry, including professional teams, leagues, and media organisations, using advanced analytics and modelling techniques.
Roles & Responsibilities:- Demonstrated interest in sport, with either knowledge of relevant disciplines or a willingness to develop this understanding
- Strong programming skills, particularly in Python and SQL
- Experience working with relational database systems
- Familiarity with cloud technologies (experience with major cloud platforms is beneficial but not essential)
- Strong collaboration and communication skills
- 4+ years of experience in data-focused software development, including data modelling, design patterns, and building scalable, secure systems
- Working knowledge of software engineering principles and best practices, including testing, packaging, API design, DevOps, DataOps, and MLOps
- Eligibility to work in the relevant jurisdiction
Senior Data Engineer in Bristol employer: Haystack
Contact Detail:
Haystack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the sports and data analytics space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to sports. This could be anything from predictive models to visualisations. It’s a great way to demonstrate your passion and expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios that might come up in the sports industry. Practising with mock interviews can help you feel more confident and articulate.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience in data engineering and your love for sports – it’ll make you stand out!
We think you need these skills to ace Senior Data Engineer in Bristol
Some tips for your application 🫡
Show Your Passion for Sport: Make sure to highlight your interest in sport and data analytics in your application. We love candidates who are excited about the intersection of these fields, so let that enthusiasm shine through!
Tailor Your Experience: When detailing your experience, focus on relevant projects that showcase your problem-solving skills and data engineering expertise. We want to see how you've tackled complex challenges in the past, especially in a team setting.
Highlight Your Technical Skills: Don’t forget to mention your programming skills, particularly in Python and SQL. If you’ve worked with cloud technologies or relational databases, make sure to include that too – it’s all about showing us what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Haystack
✨Show Your Passion for Sport
Make sure to express your genuine interest in sport during the interview. Share any personal experiences or projects that highlight your enthusiasm for sports analytics. This will help you connect with the interviewers and demonstrate that you're not just a data expert, but also someone who truly cares about the industry.
✨Demonstrate Your Technical Skills
Be prepared to discuss your programming skills, especially in Python and SQL. Bring examples of past projects where you've used these languages to solve complex problems. If you have experience with cloud technologies, mention it too, as it shows you're up-to-date with current trends in data engineering.
✨Highlight Collaboration Experience
Since the role involves working within cross-functional teams, share specific examples of how you've successfully collaborated with others in previous roles. Talk about how you communicated complex data insights to non-technical stakeholders, as this will showcase your ability to bridge the gap between data and decision-making.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you've tackled challenges in data engineering or analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you approached the problem and what the outcome was.