At a Glance
- Tasks: Lead a team of engineers to deliver high-quality data solutions and dashboards.
- Company: Join bet365, a global leader in the gaming industry with a supportive culture.
- Benefits: Enjoy hybrid work options, professional growth opportunities, and a collaborative environment.
- Other info: Embrace a dynamic workplace where your contributions are valued and recognised.
- Why this job: Make an impact by transforming complex data into valuable insights for the organisation.
- Qualifications: Experience in data technologies and leading Agile teams is preferred.
The predicted salary is between 51750 - 63250 £ per year.
Step into the role of Data Distribution Team Leader, where you’ll mentor talented engineers and oversee the delivery of complex business projects, high quality dashboards, reports and data extracts across the organisation. Our Data Distribution and Analytics department is responsible for transforming complex datasets into reliable reporting solutions, business dashboards and data extracts across the organisation. You’ll manage sprint deliveries and guide an engineering team modernising our data landscape. Working across BigQuery, Google Cloud Platform (GCP), Looker, Airflow and a legacy Microsoft SQL Server estate, you’ll collaborate with stakeholders to understand business requirements and ensure the team deliver high quality work. This role is eligible for inclusion in our hybrid work from home policy.
Preferred Skills and Experience
- Recent commercial experience in any of the following technologies would be advantageous: BigQuery, GCP, Looker, Airflow and Microsoft SQL Server
- Experience leading Agile teams, managing sprint deliverables and ceremonies
- Strong understanding of database design concepts and techniques with the ability to convert complex problems into simple solutions
- Highly organised and adaptable, capable of managing multiple large-scale projects simultaneously
- Adept at prioritisation, delivery and driving efficiency in a high throughput environment
- Ability to understand technical vernacular and effectively communicate this to technical and non-technical staff
- Collaborative leadership approach focused on coaching, mentoring and continuous team development
- Experience within the Gaming industry would be advantageous
What you will be doing
- Line manage a team of data engineers, supporting their professional growth through regular coaching and appraisals
- Direct sprint workflows, triaging and prioritising deliverables to meet project timelines
- Ensure the team develop simple, efficient and robust solutions
- Collaborate with stakeholders to ensure business requirements for data extracts and dashboards are accurate
- Maintain high standards of data governance
- Drive continuous improvements in team working practices, tooling and development processes
- Ensure the quality and integrity of highly optimised datasets and reporting to support Board, Finance and regulatory requirements
Hiring Statement
At bet365, we’re committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We’re Never Ordinary, and we’re always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out. We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.
Data Distribution Team Leader in Manchester employer: Bet365careers
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Enterprise Apps Engineer, you will not only have the opportunity to lead impactful projects in a hybrid work environment but also benefit from continuous professional development and mentorship. Our commitment to employee growth, coupled with the chance to work with cutting-edge technology in a global setting, makes bet365 a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Distribution Team Leader in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Bet365careers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Distribution Team Leader at Bet365careers.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bet365careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Distribution Team Leader at Bet365careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Distribution Team Leader in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Bet365careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bet365careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bet365careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bet365careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
