At a Glance
- Tasks: Build and run high-volume ingestion pipelines using ClickHouse and Kafka.
- Company: Join a growing data platform with a focus on innovation.
- Benefits: Fully remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Make an impact by working on cutting-edge data technologies.
- Qualifications: Strong Python skills and experience with production pipelines required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is growing their data platform and looking for two Data Engineers who can build and run high-volume ingestion pipelines across a modern, high-performance stack. You’ll work end-to-end on ingestion, warehousing, lakehouse, orchestration, and platform reliability with an immediate focus on ClickHouse + Kafka at scale.
What You’ll Be Doing day to day:
- High-throughput ingestion into ClickHouse
- Streaming pipelines with Kafka
- Extracting from BigQuery, Elasticsearch, and third-party APIs
- Working across S3/GCS, Parquet, Iceberg, Kubernetes (EKS)
- Building reliable, observable, production-ready pipelines
- Using AI-assisted coding tools as part of your workflow
Must Have experience with:
- Strong Python + production pipeline experience
- Deep ClickHouse knowledge
- Kafka fundamentals (delivery semantics, backpressure, schema registry)
- API ingestion patterns (pagination, rate limits, retries)
- Operational mindset: observability, debugging, recovery
Bonus:
- TypeScript/Node, dbt, Iceberg, CDC, ML/LLM pipelines, media/ad-tech experience.
Levels:
- Mid-Level Engineer: Delivers scoped pipelines with light guidance
- Senior Engineer: Owns subsystems, sets patterns, drives architecture
Senior Data Engineer employer: Pulse Group
Our company is an exceptional employer for Senior Data Engineers, offering a fully remote work environment that promotes flexibility and work-life balance. We foster a collaborative culture where innovation thrives, providing ample opportunities for professional growth through challenging projects and the latest technologies in data engineering. Join us to be part of a dynamic team that values your expertise and encourages continuous learning in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tap into Online Data Science Communities
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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.
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We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pulse Group, 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 Pulse Group, 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 Pulse Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pulse Group
✨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 Pulse Group.
✨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 Pulse Group.
✨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 Pulse Group.
