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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 work 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 Manchester employer: Haystack
Contact Detail:
Haystack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨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 a lead on that perfect Senior Data Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or cloud technologies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios related to data engineering and analytics. Practice explaining your thought process clearly – communication is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer in Manchester
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 want to see how your enthusiasm aligns with our mission at StudySmarter, so don’t hold back on sharing your experiences or insights related to the sports industry!
Tailor Your Skills to the Role: When you’re writing your application, be specific about your programming skills, especially in Python and SQL. We’re looking for someone who can hit the ground running, so showcase your relevant experience and how it fits with the responsibilities outlined in the job description.
Communicate Clearly: Strong communication is key in this role, so make sure your application reflects that. Use clear and concise language to describe your past experiences and how they relate to the position. We want to see how you can effectively convey complex ideas!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Haystack
✨Show Your Passion for Sport and Data
Make sure to express your genuine interest in both sport and data analytics during the interview. Share any personal projects or experiences that highlight your enthusiasm, as this will resonate well with the interviewers who are looking for someone motivated by these areas.
✨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 problems or improve processes. If you have experience with cloud technologies, mention that too, even if it’s not a requirement.
✨Highlight Your Problem-Solving Abilities
Think of specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical thinking and ability to work through complex issues effectively.
✨Emphasise Collaboration and Communication
Since the role involves working within cross-functional teams, be ready to discuss how you’ve successfully collaborated with others in the past. Share examples of how you communicated technical concepts to non-technical stakeholders, as this will demonstrate your ability to bridge gaps between teams.