At a Glance
- Tasks: Lead a dynamic team in developing impactful data products and solutions.
- Company: Join Places for People, a leading UK Social Enterprise focused on community well-being.
- Benefits: Enjoy competitive salary, generous holiday, pension contributions, and health cashback plan.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Make a real difference while working with cutting-edge data technologies in a supportive environment.
- Qualifications: Proven experience in data engineering and strong leadership skills are essential.
The predicted salary is between 31500 - 38500 £ per year.
At Places for People, we hire People, not numbers! Experience and track record are important, but we're more interested in hiring someone that embodies our People Promises. That's someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social Enterprise, we don't discriminate based on any protected attribute. In fact, we're dedicated to creating inclusive and thriving Communities for both our Customers and Employees.
More about PfP: Many organisations offer interesting work. Few offer the opportunity to improve lives at scale. At Places for People, we're creating thriving communities, providing homes, support, and opportunities that help people live healthier, happier, and more successful lives. For those who want their work to deliver meaningful impact beyond commercial outcomes, this is a chance to combine professional excellence with genuine social purpose.
More about the team: The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining PfP's data platform, we extract data from source, transform it into a usable format, load it into consumer models and marts and build and manage the infrastructure to do all this work. Data Engineering are transforming the way PfP consumes data, transitioning from On Premise to Google Cloud.
More about your role: The Data Engineering Manager is a leading role in our data engineering team. Responsible for all aspects of the data products under your stewardship from concept through to decommission. Working in an agile framework you will ensure that resources are aligned to manage your product backlog and the teams' outputs are of the highest quality meeting development standards and comply to governance policy. The role will have a significant input into the strategic direction and ways of working for the Data Engineering function. Leading a team of 5 – 8 Data Engineers you will be responsible for their line management and ongoing development.
As a Data Engineering Manager, you will:
- Oversee all aspects of product development.
- Be a primary point of contact with Stakeholders and Product Owners.
- Oversee estimating and billing for all resources used.
- Provide timely and effective communication on progress or issues.
- Actively manage all risks, issues, and key decisions for your products.
- Identify and understand business requirements / strategic business drivers.
- Ensure quality and governance processes are followed and PfP standards are met.
- Lead, coach and develop a team to consistently deliver the highest standards of service required by the business.
More about you: You have a proven track record of success within a Data Engineering function. You are proactive, organised, approachable and detail focused. You are great at finding solutions to problems, taking a pragmatic approach, with a constant drive to move projects towards a successful conclusion. You are great with people with strong line management skills. Promoting, developing, and supporting your team to ensure they are engaged, happy and performant. You have excellent communicating skills and can document, present, and interact at all levels of the business up to Exec level.
Experience & Skills:
- Experience as a Data Engineering Manager or Principal / Lead Engineer with strong track record.
- Excellent technical project management with experience of Agile / Scrum.
- Experienced in the successful delivery of data platforms and data products.
- Strong understanding of data fundamentals – ETL / Data Warehousing / Data Modelling etc.
- Experienced with DevOps and Agile – Azure DevOps would be a major plus.
- Strong problem solving and analytical skills.
- Good understanding of Cloud Data platforms – GCP / Azure / AWS.
At Places for People, we prioritise our dedication to safer recruitment. Therefore, a basic DBS check is mandatory for this position.
The benefits: We are a large diverse and ambitious business, which will give you all the challenge you could wish for. We know that there's always more we can do to make you smile, that's why we offer a comprehensive benefits package with each role, yours will include:
- Competitive salary, with a salary review yearly.
- Pension with matched contributions up to 7%.
- Excellent holiday package – up to 35 days annual leave with the option to buy or sell leave.
- Essential car allowance to cover the wear and tear on your car for any travel associated with your role.
- Cashback plan for healthcare costs – up to £500 saving per year.
- A bonus scheme for all colleagues at 2%.
- Training and development.
- Extra perks including huge discounts and offers from shops, cinemas and much more.
What's next? If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us.
As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all.
We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best.
If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team. We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours.
If you are a recruitment agency please note we operate a PSL and do not take cold calls.
Safeguarding: At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities.
Data Engineering Manager in Antrim employer: Places for People
Places for People is an excellent employer that prioritises employee well-being and professional growth, offering a supportive work culture where collaboration and innovation thrive. With the flexibility of hybrid working after training, employees can enjoy a balanced work-life dynamic while contributing to meaningful property services in the beautiful location of Bath. The company also provides opportunities for career advancement and development, making it a rewarding place to build your future.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Antrim
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineering Manager in Antrim
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 Places for People, 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 Places for People. 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 Places for People
✨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 Places for People!
✨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.