At a Glance
- Tasks: Lead and develop a dynamic Data Engineering team to enhance data capabilities.
- Company: Join PHMG, the world's leading audio branding agency with a collaborative culture.
- Benefits: Competitive salary of £90k OTE, hybrid working, and opportunities for professional growth.
- Other info: Be part of a forward-thinking company that values collaboration and technical excellence.
- Why this job: Make a real impact by modernising data platforms and driving innovation in data engineering.
- Qualifications: Proven experience in leading Data Engineering teams and designing enterprise-scale data solutions.
The predicted salary is between 90000 - 90000 £ per year.
Location: Manchester based office – Hybrid working
Package: £90k OTE
PHMG is continuing to develop and mature its data capability, focusing on modernising our data platform and enhancing the way we work. This creates further opportunities to leverage data more effectively, allowing us to better serve our customers and colleagues. As part of this continued development, we are looking to strengthen our Data Engineering capability and maximise the value from the wealth of data held across the organisation.
This pivotal role will lead an established Data Engineering team, supporting their development while strengthening engineering practices, technical standards and ways of working across the function. The successful candidate will foster a culture of technical excellence, collaboration and continuous improvement.
This is an exciting opportunity for an experienced data engineering leader to help develop our data engineering community of practice, define data standards across the organisation and be part of the team delivering and evolving PHMG’s Data Strategy.
The role: What you will do:
- Lead, manage and develop the Data Engineering team, building capability, resilience and strong ways of working.
- Own PHMG’s core data platform, architecture, data warehouse and associated pipelines, ensuring solutions are scalable, reliable, maintainable and cost-effective.
- Own Data Engineering delivery, ensuring work is appropriately designed, prioritised and delivered to agreed standards.
- Establish and embed strong engineering practices across source control, CI/CD, testing, code review, documentation, monitoring and error handling.
- Work closely with the wider Data team to translate the Data Strategy and business priorities into an effective engineering roadmap and delivery plan.
- Work closely with IT, Infrastructure and other engineering teams on architecture, integrations, migrations and platform decisions.
- Identify and evaluate opportunities to improve the performance, reliability and efficiency of PHMG’s data capability, including the use of emerging technologies.
This is an exciting role for an experienced data engineering leader who has:
- Demonstrable experience leading, developing and managing Data Engineering teams.
- A strong track record of designing and delivering enterprise-scale data platforms, solutions and architectures.
- A thorough understanding of modern ETL/ELT practices and experience designing scalable, reliable and maintainable data pipelines.
- Advanced working knowledge of SQL and Python.
- Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, Redshift or BigQuery.
- Experience within the Microsoft data ecosystem would be advantageous.
- Strong understanding of modern engineering practices including source control, CI/CD, automated testing, code review, monitoring and observability.
- Strong experience of data modelling for reporting and analytics, using tools and approaches such as dbt or equivalent.
- Strong understanding of data quality, governance, security and data management best practices.
- Experience managing engineering delivery using agile ways of working.
- Strong communication and stakeholder management skills, with the ability to explain technical decisions, risks and trade-offs to both technical and non-technical audiences.
Nice to have experience:
- Experience integrating data with operational systems, including reverse ETL into platforms such as Salesforce.
- Understanding of the Data Science / Machine Learning lifecycle and MLOps.
- Experience using Infrastructure as Code approaches and tools such as Terraform or CloudFormation.
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.
Head of Data Engineering 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.
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We think this is how you could land Head of Data Engineering in Manchester
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We think you need these skills to ace Head of Data Engineering 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!
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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!
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✨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!
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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
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✨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.
