At a Glance
- Tasks: Join us as a Senior Data Engineer to evolve our data platform and deliver impactful use cases.
- Company: Global is a leading media and entertainment company, dedicated to brightening everyone's day.
- Benefits: Enjoy flexible working options, a supportive team culture, and opportunities for personal growth.
- Why this job: Work with unique data sets and solve distinctive problems in a dynamic, collaborative environment.
- Qualifications: Proficiency in Python and SQL, with experience in data engineering and cloud services preferred.
- Other info: We celebrate diversity and promote an inclusive culture where everyone can thrive.
The predicted salary is between 43200 - 72000 £ per year.
Accepting applications until: 4 August 2025 Job Description
Senior Data Engineer
We are Global
At Global, we think big, work hard, and never stand still. We’re the proud home of the best media and entertainment, driven by our talented and passionate people. Our mission? To make everyone’s day brighter — our Globallers, our audiences, our partners, and our communities.Whether we’re in the studio, building world-class technology, or securing record Outdoor advertising partnerships, we make sure we’re doing it as a team.
Your Role: Senior Data Engineer
We’re one of the largest media players in Europe, and data is at the heart of what we do. We capture data from our audio and digital channels, from our extensive outdoor business and beyond, and use this to create the best content for our audiences and an amazing experience for our clients.
The data team supports the whole company across all of these areas, and this scope gives us a rich array of data use cases to work on. These range from personalisation on our digital applications, to optimisation algorithms to allocate our inventory, to data for enabling operational excellence in our outdoor estate, generative technologies to develop ad creatives, and many others.
Three things set us apart:
-
Distinctive problems to solve: As described above, we have some of the most diverse and rich data use cases for any media company. We’re the only player to cut across audio, outdoor, digital, and to run a programmatic ad exchange
-
Unique data sets: In line with the above, we have some truly unique data sets to work with – and at large scale. This includes our front-end data, data from our ad exchange, outdoor operational data, audio listening data, and much more. It also includes some unique data partnerships: for example, we have access to unique data on travel movements for the TfL network in London
-
Scale: We’re a privately-owned, mid-cap business, with a long-term perspective. We have the flexibility, pace, and opportunity to work on big problems that an early-stage business would. But equally, we have the scale to make an impact on millions of consumers, and the big data volumes you’d expect of a large business
We’re looking for a Senior Data Engineer with strong technical and communication skills to join our team. In this role you’d play a key role in maturing and evolving our data platform. Through doing this, you’d be delivering valuable use cases to the business including making use of our rich content and partnership data to build new audience segments for targeting, attribution, and more.
Key Responsibilities
-
Building and evolving our data platform, including introducing improved platform capabilities for areas including monitoring & alerting, automation, and data quality profiling. We’d also look for your insight on how we should best evolve our platform in future
-
Delivering new use cases with a focus on engineering excellence, building high quality solutions and raising the bar for others
-
Coaching and supporting – While this is a hands-on role, you’ll be a technical leader in the team. As such, we’d look for you to coach and guide junior engineers who you work closely with
What You’ll Love About This Role
Think Big: You’ll be at the heart of designing how we evolve our data platform, which will underpin critical business decisions and insights for Global’s future
Own It: You’ll be doing this by leading technical delivery on some of our most important use cases
Keep it Simple: We’ve got some of the largest and most diverse data sets in UK media – with scale that continues to grow. You’ll play a leading role in how we enable our platforms to meet this scaling challenge while remaining reliable, maintainable, and cost-effective
Better Together: You’ll be part of a diverse data team, and have an opportunity to work alongside highly talented engineers, data scientists, and data analysts to deliver our most important business outcomes
What Success Looks Like
In your first few months, you’ll have:
-
Got to know our platform architecture, and formed ideas on how we can improve this in future
-
Delivered some early contributions to use cases you’ll be working on and the data sets that enable them, with an eye on any potential improvements
-
Applied sound standard methodology in deploying data services, appreciating potential impact to scalability, reliability, accuracy, efficiency and costs
-
Shown understanding of how and why data services are applied at Global, and how we can use our data here for improved targeting, attribution, and more
What You’ll Need
-
Programming skills and knowledge of SQL. We’d expect you to be highly proficient in a modern programming language (we primarily use Python), and to be proficient in SQL. Exposure to data engineering tools like dbt is also an advantage.
-
Applied data engineering knowledge, including understanding of building and deploying high quality pipelines, that are robust, supportable and maintainable and consider our NFRs
-
Experience with modern data platform technologies. We use Snowflake as core of our platform, so experience here is preferred
-
Familiarity with cloud services, ideally AWS
-
Experience working in an agile way striving for continuous improvement with an appreciation for how these methodologies can improve efficiency and deliver value
Creating a place we all belong at Global
We are dedicated to creating a place where different voices are represented, amplified and celebrated.Weknow that we can’tserve our diverse audiences without first celebrating it in our people, which is why we’re passionate about creating an inclusive culture where every Globaller can belong. So, no matter who you are or where you are from, you can find your place at Global.
As a business, we believe in the importance of a healthy work-life balance and the value of a flexible and agile workforce. Therefore, we operate a Smart Working approach.If you need us to make any reasonable adjustments during your recruitment process, drop us an email atrecruitment@global.com, we’ll be happy to help.
#J-18808-Ljbffr
Senior Data Engineer employer: Global
Contact Detail:
Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and Python. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the data engineering community online. Join forums, attend webinars, or participate in discussions related to data platforms and engineering best practices. This not only enhances your knowledge but also helps you network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss real-world applications of data engineering in media and entertainment. Think about how data can drive decisions in these sectors and be ready to share your thoughts during interviews, showcasing your understanding of the industry.
✨Tip Number 4
Highlight any experience you have with agile methodologies. Being able to demonstrate your ability to work in a fast-paced, iterative environment will resonate well with the team at Global, as they value continuous improvement and efficiency.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Tailor your application to highlight how your skills and experiences align with the specific needs outlined in the job description.
Highlight Relevant Experience: In your CV and cover letter, focus on your experience with data engineering, particularly with technologies mentioned like SQL, Python, and Snowflake. Provide concrete examples of projects where you've successfully built and deployed data pipelines or improved data platforms.
Showcase Technical Skills: Clearly list your technical skills relevant to the role. Mention any experience with cloud services, agile methodologies, and data engineering tools like dbt. This will demonstrate your capability to handle the unique challenges of the position.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for data engineering and how you can contribute to Global's mission. Discuss your approach to problem-solving and how you can help evolve their data platform, making sure to connect your personal values with their commitment to diversity and inclusion.
How to prepare for a job interview at Global
✨Understand the Data Landscape
Familiarise yourself with the unique data sets and use cases mentioned in the job description. Be prepared to discuss how your experience aligns with their diverse data challenges, particularly in audio, digital, and outdoor media.
✨Showcase Technical Proficiency
Highlight your programming skills, especially in Python and SQL. Be ready to provide examples of high-quality data pipelines you've built and how you've ensured their robustness and maintainability.
✨Demonstrate Leadership and Coaching Skills
Since the role involves coaching junior engineers, prepare to discuss your previous experiences in mentoring or leading teams. Share specific instances where you guided others and the impact it had on project outcomes.
✨Emphasise Agile Methodologies
Discuss your experience working in agile environments and how you've contributed to continuous improvement. Be ready to explain how these methodologies can enhance efficiency and deliver value in data engineering projects.