Data Engineer

PHMG
Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Overview

PHMG Greater Manchester, England, United Kingdom

The data tech stack at PHMG is modernising our offerings and how we work, creating opportunities to use data to better serve customers and colleagues. We are growing our team to unlock more value from the technology we have invested in and are looking for a Data Engineer to help grow the Data Engineering function, support the team to build effective engineering practices, and drive a culture of technical excellence and continuous improvement.

This is an exciting opportunity to advance your data journey, help develop the data engineering community of practice, define data standards across the organisation, and contribute to the next phase of PHMG’s Data Strategy.

Note: This description reflects the current opportunity and does not imply any guarantees of employment.

Responsibilities
  • Influence and contribute to the next phase of our data strategy.
  • Play a key role in migrating data pipelines into Microsoft Fabric, ensuring performance, reliability, and maintainability.
  • Collaborate with the Data Engineering team to design and build scalable, secure, and efficient data warehouse solutions.
  • Apply best practices in architecture and engineering to improve data infrastructure and delivery.
  • Partner with other technical teams to promote a data-driven culture, ensuring data is at the core of decision-making across product teams and the business.
  • Collaborate with cross-functional teams to share knowledge, evaluate opportunities, and recommend improvements across architecture, pipelines, data models and processes.
The person we are looking for will have the following experience
  • Proven experience in data engineering, with a strong understanding of modern ETL/ELT frameworks and practices.
  • Building and optimizing data pipelines, architectures and datasets.
  • Hands-on experience with Microsoft Fabric.
  • Experience with data orchestration tools, especially Data Factory pipelines, Fabric Dataflows Gen2, or Airflow.
  • Strong knowledge of SQL and Python.
  • Proficiency in version control and CI/CD experience.
  • Experience in data modelling for reporting and insights teams, ideally using dbt or similar tools.
  • Experience working in agile environments with cross-functional teams.
Nice-to-have experience
  • Infrastructure as code (Terraform).
  • Experience with Snowflake and Databricks.
The Team

The Technology Department serves as the central hub for data engineering and insights across our organization. Our department operates as a unified force, cultivating a culture that empowers analysts and engineers to excel.

PHMG’s CTO recognises that effective business intelligence is not the sole responsibility of one team but a capability that should permeate the entire organization. To achieve this, we view the data functions as an enabler of self-serve analytics, accomplished through robust data management, governance, and education initiatives. This approach ensures that business intelligence is accessible and leveraged across the organization, driving data-driven decision-making at all levels.

Why PHMG Tech?

The IT, Data & Engineering functions within PHMG have been undergoing a digital transformation, changing how we deliver value to our business. A big part of this change is fostering a culture of openness, collaboration, psychological safety, and having fun.

We want to create a place for teams to do their best work, and you will have the opportunity to influence decisions, help define standards across the teams, and contribute to a healthy and happy working environment.

About PHMG

Established in 1998, PHMG has grown from a Manchester-based business to the world’s leading audio branding agency, working with 36,000 clients in 54 countries. Our client list includes Samsung, Audi and Adidas, as well as SMEs across the global market. We deliver stellar productions that combine creative copy, world-class voice artistry and a unique Brand-Sound-Track to strengthen business identity.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.