At a Glance
- Tasks: Build and optimise data pipelines, solve complex data challenges, and contribute to innovative features.
- Company: Fast-scaling SaaS company with a standout product and strong investor backing.
- Benefits: Competitive salary, hybrid work model, and opportunities for meaningful progression.
- Other info: Shape the platform's evolution while learning from senior leaders.
- Why this job: Join an elite team and make a real impact on industry-changing data solutions.
- Qualifications: Strong Python skills and experience with data pipelines or distributed systems.
The predicted salary is between 36000 - 60000 £ per year.
This is a brilliant opportunity for someone who loves solving problems at the intersection of data and product and wants real ownership in a fast-scaling company. I’m partnering with a high-growth SaaS business with a standout product and serious traction. They are already profitable, backed by strong investors, and scaling quickly to meet demand. This is your chance to get in early. Here, data isn’t a support function, it’s the product. You’ll help complex organisations implement and expand a platform that’s reshaping how the industry operates through advanced analytics and AI to drive real-time decision-making.
You’ll be:
- Building and optimising scalable data pipelines
- Integrating complex systems
- Turning messy, real-world problems into clean technical solutions
- Contributing to new features as the platform evolves
They’re building a small, elite engineering team in London and are looking for engineers who want visible impact. This is not another dashboard product or incremental feature work, and it’s not a company where engineering sits in the background. Engineers here:
- Build mission-critical systems used by C-suite leaders
- Solve complex data challenges
- Develop AI-enabled workflows in production
- Take ownership from design through to deployment
- See their work influence major organisations
Requirements:
- Strong Python and data fundamentals
- Experience working with data pipelines or distributed systems
- Experience in data, analytics engineering, platform engineering or technical consultancy
- Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow
Why now? The company is scaling rapidly across industries. Join now and you’ll:
- Shape how the platform evolves
- Learn directly from senior technical and business leaders
- Take on real responsibility and have meaningful progression
If you’re excited by data, product, real-world impact and want to accelerate your career, then apply below.
Senior Data Engineer employer: Cognify Search
Cognify Search offers an exceptional work environment for the Head of ML & AI, where innovation meets collaboration. With a focus on enhancing customer experience through cutting-edge technology, employees benefit from a culture that prioritises professional growth and teamwork. Located in a dynamic eCommerce hub, this role provides unique opportunities to lead impactful projects while working alongside industry experts.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Senior Data Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience with data pipelines and modern tooling. This gives you a chance to demonstrate your problem-solving abilities and technical prowess.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and data fundamentals. Be ready to discuss how you've tackled complex data challenges in the past and how you can contribute to building scalable systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data and how it drives decision-making. Share specific examples of how you've tackled complex data challenges in the past, as this will resonate with our mission to turn messy problems into clean solutions.
Highlight Relevant Experience:Make sure to emphasise your experience with data pipelines, distributed systems, and modern data tooling like Databricks or Snowflake. We want to know how your background aligns with the role, so don’t hold back on showcasing your skills and achievements!
Be Authentic:We appreciate authenticity! Write in a way that reflects your personality and passion for the role. Avoid generic phrases and instead, share your unique perspective on how you can contribute to our elite engineering team and the exciting work we do.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. This helps us streamline the process and ensures your details land in the right hands. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Cognify Search
✨Know Your Data Tools
Make sure you’re well-versed in the modern data tooling mentioned in the job description, like Databricks, Snowflake, DBT, and Airflow. Brush up on how these tools work and be ready to discuss your experience with them. This shows you’re not just a theoretical candidate but someone who can hit the ground running.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you turned messy problems into clean solutions. This will demonstrate your ability to think critically and creatively, which is crucial for a Senior Data Engineer role.
✨Understand the Business Impact
Since this role involves building mission-critical systems for C-suite leaders, it’s important to understand how your work influences business decisions. Be ready to discuss how data can drive real-time decision-making and the value it brings to organisations. This will show that you’re aligned with the company’s vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future product developments. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street, after all!
