Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Manager, Data Engineering

Intermedia Cloud Communications
Newcastle upon Tyne
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Data Engineering

Sr. Manager - Platform Engineering Lead, R&D DP&TS Platform and Data Engineering

Senior Manager, Data Engineering Product & Portfolio

Program Manager, R&D DP&TS Platform and Data Engineering

Program Manager, R&D Platform & Data Engineering

Data Engineering Manager

About Intermedia


Are you looking for a company whereYOUR VOICEis heard? Where you canMAKE A DIFFERENCE? Do youTHRIVEin aFAST-PACEDwork environment? Do you wake every morningEXCITEDto work withGREATPEOPLEand createSUCCESSTOGETHER? Then Intermedia is the place for you.


Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!


Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!


Are you ready to make your mark?


About The Role:

We are seeking a dynamic and experienced Manager to join our Corporate Analytics team. This role combines leadership responsibilities with hands-on software engineering tasks. The ideal candidate will have a strong background in Java development and experience working with data products. You will lead a team of talented engineers, guiding them through complex projects while also contributing to the development process.


What you will be doing:

  • Managing a growing team of Software and Data Engineers.
  • Active member of the development team working in a face paced agile working environment.
  • Development and support of a Data and Analytics platform delivering both real time and historic data analysis.
  • Pro-active, quality orientated, problem solver.


What you will bring to the role:

  • Bachelor or Master’s degree in Computer Science or equivalent related work experience
  • People management, mentoring and coaching
  • Commercial Java development experience with JDK 11 and above
  • Strong teamwork and communication skills
  • Experience working and leading in an Agile environment
  • Experience of developing Microservices with Spring Boot
  • Experience of Data Pipelines
  • Experience of the wider Spring Framework; Data, Cloud, Messaging, etc...
  • Experience with Relational Databases: MySql, Snowflake
  • Experience with nosql databases: ElasticSearch, MongoDB
  • Experience of using Git: Bitbucket, GitLab etc.
  • Experience of Continuous Integration: Jenkins, TeamCity
  • Ability to refine and deliver User Stories
  • Ability to write clean, testable code
  • Strong debugging and problem solving skills


Bonus Skills:

  • Experience with Kubernetes and Helm
  • Experience with RabbitMQ
  • Experience with handling large datasets
  • Automated Functional Testing Experience: Selenium, Gherkin / Cucumber


Diversity, Inclusion, and Equal Opportunity

We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.