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For Companies At a Glance
- Tasks: Shape and deliver a cutting-edge real-time data platform using modern streaming tools.
- Company: Innovative e-commerce company in London with a focus on data transformation.
- Benefits: Fully remote work, competitive contract rate, and opportunity to work with advanced technologies.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making.
- Qualifications: Experience with Kafka, Flink, Spark, and cloud-native architectures required.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
Overview
I\’m currently hiring for a cutting-edge e-commerce company based in London that’s making a shift towards a streaming-first data architecture. As part of this transformation, they’re looking for an experienced Senior Data Streaming Engineer to join on a 6-month contract (outside IR35). This role is fully remote.
UK-based candidates preferred with full right to work; however we will consider EU candidates.
The Opportunity
You\’ll play a key role in shaping and delivering the technical strategy behind a modern, cloud-native, real-time data platform. From Kafka pipelines to Databricks orchestration, this is a chance to work on high-scale systems powering real-time insights across the business.
What We’re Looking For
The ideal contractor will bring a strong blend of strategic thinking and hands-on engineering. Specifically, you’ll have:
- Proven experience as a Senior Data Engineer, focused on real-time, distributed systems
- Deep expertise with modern streaming tools: Kafka, Flink, Spark, Databricks
- Strong cloud-native data architecture experience (AWS, GCP, or Azure)
- Solid understanding of streaming vs. batch processing paradigms
- Experience defining technical strategy and creating actionable roadmaps
- Familiarity with broader data ecosystem tools like Airflow, Dagster, DBT
- Strong skills in Python, Scala, or Java
- A background in ETL/ELT pipelines, data warehousing, and analytics engineering best practices
- Experience working with privacy-sensitive data and implementing data governance frameworks
- Clear, confident communication and a collaborative mindset to align diverse stakeholders
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- Staffing and Recruiting
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Data Streaming Engineer employer: TrueNorth®
Contact Detail:
TrueNorth® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Streaming Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Kafka, Flink, or Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly and confidently, as communication is key in aligning with diverse stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Streaming Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Streaming Engineer role. Highlight your experience with streaming tools like Kafka and Databricks, and don’t forget to mention any cloud-native architecture you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Relevant Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see your hands-on experience with real-time data platforms and streaming tools.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at TrueNorth®
✨Know Your Tech Inside Out
Make sure you’re well-versed in the streaming tools mentioned in the job description, like Kafka, Flink, and Databricks. Brush up on your cloud-native architecture knowledge too, especially if you have experience with AWS, GCP, or Azure. Being able to discuss these technologies confidently will show that you’re the right fit for the role.
✨Prepare Real-World Examples
Think of specific projects where you’ve implemented real-time data solutions or defined technical strategies. Be ready to share how you tackled challenges and what impact your work had on the business. This will demonstrate your hands-on experience and strategic thinking.
✨Understand the Company’s Vision
Research the e-commerce company and their shift towards a streaming-first data architecture. Understanding their goals and how your skills can help achieve them will allow you to tailor your responses and show genuine interest in the role.
✨Showcase Your Communication Skills
Since the role requires collaboration with diverse stakeholders, practice articulating your thoughts clearly and confidently. Prepare to discuss how you’ve worked with teams in the past and how you align different perspectives to drive projects forward.
