At a Glance
- Tasks: Design and build scalable data solutions while collaborating with a dynamic team.
- Company: Join PHMG, a leading audio branding agency with a collaborative culture.
- Benefits: Enjoy a competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Be part of a forward-thinking team focused on innovation and excellence.
- Why this job: Make an impact by modernising data platforms and enhancing data reliability.
- Qualifications: Strong SQL and Python skills, with experience in data engineering and cloud technologies.
PHMG is continuing to develop and mature its data capability, focusing on modernising our data platform and enhancing the way we work. As part of this continued development, we are looking to strengthen our Data Engineering team and maximise the value from the wealth of data held across the organisation.
We are looking for a Data Engineer to help design, build and maintain reliable, scalable data solutions. Working as part of an established Data Engineering team, you will contribute to the development of our data platform, strengthen engineering practices and help improve the quality and reliability of data across the organisation. This is an exciting opportunity for an experienced Data Engineer with strong SQL and Python skills to work with modern cloud data technologies, contribute to our engineering standards and play a part in delivering and evolving PHMG’s Data Strategy.
What you will do:
- Design, build and maintain scalable, reliable and maintainable data pipelines and datasets.
- Play a key role in developing and improving our Microsoft Fabric data platform.
- Contribute to the design and development of data warehouse, lakehouse and data integration solutions.
- Apply strong engineering practices across source control, CI/CD, testing, documentation, monitoring and error handling.
- Develop and maintain data models to support reporting, analytics and wider business use cases.
- Collaborate with other Data Engineers and technical teams to improve data architecture, platform performance and engineering processes.
- Work closely with Reporting, Insights and Data Science teams to understand requirements and deliver effective data solutions.
The person we are looking for will have the following experience:
- Strong SQL skills, including experience writing and optimising complex queries and data transformations.
- Strong Python skills, with practical experience using Python for data engineering, data processing or automation.
- Proven experience designing and building data pipelines, with a strong understanding of modern ETL/ELT practices.
- Experience working with modern cloud data platforms and orchestration technologies.
- Experience within the Microsoft data ecosystem would be advantageous.
- Experience of data modelling for reporting and analytics, including dimensional modelling and designing datasets for downstream consumption.
- Experience with modern engineering practices including Git-based source control, CI/CD, testing, monitoring and error handling.
- Strong analytical and problem-solving skills.
- Experience working effectively within agile, cross-functional teams.
Nice-to-have experience:
- Microsoft Fabric, including Warehouse, Lakehouse and Data Factory capabilities.
- Infrastructure as Code approaches and tools such as Terraform.
- API-based, event-driven or operational system integrations, such as Salesforce.
The Team
The Data Engineering team sits within PHMG’s wider Data function and is responsible for building and maintaining the platforms, pipelines and data models that underpin reporting, analytics and data science across the organisation. The team works closely with Reporting & Insights, Data Science, IT and other business teams to make data reliable, accessible and useful across the business. We are continuing to strengthen our engineering practices, improve our platform and build greater resilience and consistency across the data estate.
Why PHMG Tech?
The IT, Development and Data functions within PHMG continue to evolve how we use technology and data to deliver value to the business. We want to build an open, collaborative culture where people communicate honestly, support each other and take pride in delivering good work.
About PHMG:
Established in 1998, PHMG has grown from a renowned Manchester-based business to the world’s leading audio branding agency – working with 36,000 clients in 54 countries across the globe. This expansive client list includes household names of the calibre of Samsung, Audi and Adidas, as well as SMEs in every sector of the global market. We give each of them a stellar production that combines creative copy, world-class voice artistry and an exclusive Brand-Sound-Track™ – strengthening their business identity in the most memorable, emotive way.
Data Engineer in Manchester employer: PHMG
PHMG is an excellent employer, offering a vibrant work culture in the heart of Old Trafford, Manchester. With a focus on employee growth and a comprehensive benefits package that includes gym membership and generous leave, we empower our team to thrive both personally and professionally. Join us to make a meaningful impact through engaging internal communications while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 PHMG!
✨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 Engineer at PHMG.
✨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 PHMG.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at PHMG, 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!
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 PHMG, 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 PHMG. 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 PHMG
✨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 PHMG!
✨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.
