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For Companies At a Glance
- Tasks: Design and maintain data pipelines, ensuring reliable data access and transformation.
- Company: Join a fast-growing global tech consultancy with a focus on innovation.
- Benefits: Competitive salary based on performance, hybrid work model, and career growth opportunities.
- Why this job: Work with cutting-edge technology and solve complex problems across various industries.
- Qualifications: Strong experience in Python, Spark, and cloud platforms like AWS or Azure.
- Other info: Collaborative environment with a focus on impactful data solutions.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a fast-growing global tech consultancy to hire Senior Data Engineers. This is an exciting opportunity for someone who thrives on complex problem-solving, cutting‑edge technology, and working across multiple clients and industries. The ideal candidate is passionate about data engineering, building robust pipelines, and helping businesses leverage their data for meaningful impact.
Key Responsibilities
- Design, build, and maintain data pipelines to ingest, transform, and load data reliably.
- Implement and manage data lakes and warehouses for scalable and secure access.
- Ensure systems are reliable, secure, and cost‑effective.
- Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions.
- Work with modern data tools and cloud platforms to optimise performance and scalability.
Technical Skills & Experience
- Strong experience in Python, Spark, and Airflow.
- Hands‑on knowledge of Snowflake, Databricks, BigQuery, or Neo4J.
- Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks.
- Cloud experience with AWS, Azure, or GCP.
- Proven track record building scalable, reliable, and secure data solutions.
- Comfortable problem‑solving across large, complex datasets and systems.
If you’re interested in hearing more about this opportunity, please hit the apply button!
Senior Data Engineer employer: Fresh
Contact Detail:
Fresh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering. A friendly chat can lead to referrals or insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use platforms like GitHub to share your code and demonstrate your expertise in Python, Spark, and other tools mentioned in the job description.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss how you've tackled complex datasets in the past. This will help you shine during technical interviews!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Spark, and Airflow. We want to see how you've tackled complex data problems in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you’ve used modern tools to create impactful solutions. Let us know why you’re excited about this role!
Showcase Your Projects: If you’ve worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building robust data pipelines or using cloud platforms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Fresh
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, Spark, and Airflow. Be ready to discuss your hands-on experience with tools like Snowflake and Databricks, as well as any cloud platforms you've worked with. The more confident you are in your knowledge, the better you'll impress the interviewers.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about situations where you built scalable data solutions or optimised performance. This will demonstrate your ability to think critically and solve problems effectively, which is key for a Senior Data Engineer.
✨Collaborate and Communicate
Since the role involves working closely with analysts and ML engineers, be ready to discuss your collaboration experiences. Highlight how you've successfully communicated technical concepts to non-technical stakeholders. This shows that you can bridge the gap between teams and deliver impactful solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data engineering, the tools they use, or their future projects. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
