At a Glance
- Tasks: Design and build scalable data pipelines for a leading digital entertainment giant.
- Company: Join a global brand delivering movies, TV shows, and live sports to millions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make an impact in the world of streaming with cutting-edge data technology.
- Qualifications: Strong background in Data Engineering, SQL, and cloud infrastructure.
The predicted salary is between 63000 - 77000 £ per year.
Location: London Liverpool Street, Hybrid
Duration: 12-Month Contract
The Opportunity: We are looking for a Senior Data Engineer (Level III) to join one of the world's leading digital entertainment and premium streaming giants. Operating in over 240 countries, this global brand delivers thousands of movies, TV shows, live sports, and original content to millions of users daily. Based in their state-of-the-art London office near Liverpool Street (5 days a week onsite), you will sit within the Content Analytics & Products team. You will design, build, and operate the massive, scalable data pipelines and models that power customer-facing features and global internal analytics.
What You'll Do:
- Build & Optimise: Design robust ETL/ELT pipelines to ingest and transform disparate data streams, handling both traditional batch and live event data.
- Scale with Big Data: Leverage heavy cloud infrastructure to process massive datasets efficiently.
- Infrastructure as Code: Maintain and develop the data platform using modern infrastructure-as-code frameworks.
- Collaborate & Innovate: Partner with software engineers, data scientists, and business stakeholders to translate complex requirements into high-performance technical solutions.
- Quality & Performance: Implement automated data quality frameworks to detect anomalies and optimize storage/processing costs.
What You Need to Bring:
- Core Engineering: Strong track record in a Data Engineering or software engineering role, with deep knowledge of the full software development lifecycle (SDLC), code reviews, and testing.
- Programming & SQL: Expert-level SQL skills and proficiency in at least one modern scripting language (Python, Java, Scala, or Node.js).
- Big Data & Pipelines: Proven experience building and operating highly available distributed systems for large-scale data extraction and data warehousing.
- Cloud Infrastructure: Strong familiarity with cloud-native big data ecosystems - specifically managed warehousing, object storage, compute clusters, and event-streaming technologies (e.g., Redshift, S3, EMR, Spark, Kinesis).
Data Engineer - Enterprise Streaming & Content in London employer: Simon James IT Ltd
Join a leading enterprise in Dartford, Kent, where your expertise as a Director of Cyber Security will not only be valued but also pivotal in shaping the future of our cyber operations. We foster a dynamic work culture that prioritises innovation, accountability, and employee engagement, offering competitive benefits and opportunities for professional growth. Here, you will collaborate with top-tier professionals and have the chance to make a significant impact on critical technology transformations across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Enterprise Streaming & Content in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Simon James IT Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Simon James IT Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Simon James IT Ltd.
We think you need these skills to ace Data Engineer - Enterprise Streaming & Content in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Simon James IT Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Simon James IT Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Simon James IT Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Simon James IT Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Simon James IT Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Simon James IT Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Simon James IT Ltd.
