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 engineering projects.
- Qualifications: Strong Python skills and deep knowledge of ClickHouse 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 Engineer, Data Engineering in England employer: Pulse Group
As a fully remote employer based in the UK, our client offers an exceptional work culture that prioritises flexibility and innovation. Employees are encouraged to grow their skills through hands-on experience with cutting-edge technologies like ClickHouse and Kafka, while also benefiting from a collaborative environment that fosters creativity and problem-solving. With a focus on high-volume data ingestion and a commitment to operational excellence, this role provides a unique opportunity for meaningful contributions to a rapidly evolving data platform.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in England
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
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Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
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We think you need these skills to ace Senior Engineer, Data Engineering in England
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Senior Engineer, Data Engineering at Pulse Group, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Pulse Group.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Pulse Group
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
