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- Tasks: Lead data engineering projects and mentor junior team members while designing complex data solutions.
- Company: Join a dynamic SaaS organisation expanding its data engineering team with innovative projects.
- Benefits: Enjoy excellent remuneration, bonuses, and the flexibility of remote work from anywhere in the UK.
- Why this job: Be part of a forward-thinking team that values innovation and offers opportunities for professional growth.
- Qualifications: 5+ years in Data Engineering, strong skills in Python, SQL, and modern data platforms required.
- Other info: Experience in retail or e-commerce is a plus; embrace a culture of collaboration and knowledge sharing.
The predicted salary is between 48000 - 84000 £ per year.
Remote (Must be UK based) Excellent remuneration + bonus
This role requires either retail, e-commerce, travel & tourism or betting & gaming experience.
I'm currently working with a SaaS product organisation who are expanding their data engineering team with a key senior hire, working directly with the CDO.
Required Skills:
- 5+ years experience in Data Engineering/Architecture (or similar).
- Extensive experience in data engineering, including designing and managing complex data models and solutions.
- Proven leadership and mentoring abilities within technical teams.
- Strong communication skills, with the ability to engage effectively with clients and stakeholders at all levels.
- Hands-on expertise in modern data platforms, tools, and technologies, such as:
- Advanced data modelling - operational and analytical
- Python, SQL
- Databricks, Spark
- Orchestration frameworks such as Dataform, Airflow, and GCP Workflows.
- Modern architecture and cloud platforms (GCP, AWS, Azure)
- DevOps practices
- Data warehouse and data lake design and implementation
- Familiarity with containerization and IaC tools (e.g. Docker, Kubernetes, Terraform).
- Worked within an agile environment (Scrum, Kanban, etc).
Senior Data Engineer - Databricks employer: Blue Wolf Digital
Contact Detail:
Blue Wolf Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Databricks
✨Tip Number 1
Make sure to highlight your experience in retail, e-commerce, travel & tourism, or betting & gaming during any conversations. Tailoring your discussions to showcase relevant projects can really set you apart.
✨Tip Number 2
Demonstrate your leadership skills by sharing specific examples of how you've mentored teams or led projects. This will show that you're not just technically proficient but also capable of guiding others.
✨Tip Number 3
Familiarise yourself with the latest tools and technologies mentioned in the job description, especially Databricks and orchestration frameworks. Being able to discuss these confidently will impress the hiring team.
✨Tip Number 4
Engage with the company’s online presence, such as their social media or blog. This will help you understand their culture and values, allowing you to align your conversations with what they care about.
We think you need these skills to ace Senior Data Engineer - Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, especially focusing on your 5+ years of experience and any specific projects related to retail, e-commerce, travel & tourism, or betting & gaming.
Craft a Compelling Cover Letter: In your cover letter, emphasise your leadership and mentoring abilities, as well as your hands-on expertise with tools like Databricks, Spark, and cloud platforms. Show how your strategic mindset aligns with the company's goals.
Showcase Relevant Projects: Include specific examples of complex data models and solutions you have designed and managed. Highlight any experience with orchestration frameworks and modern architecture that demonstrates your technical skills.
Prepare for Technical Questions: Be ready to discuss your experience with data warehousing, data lakes, and DevOps practices during interviews. Prepare to explain your approach to fostering knowledge sharing and developing training materials.
How to prepare for a job interview at Blue Wolf Digital
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data engineering tools and technologies like Databricks, Spark, and Python. Highlight specific projects where you've designed complex data models or implemented data lakes, as this will demonstrate your capability to handle the technical demands of the role.
✨Emphasise Leadership and Mentoring Skills
Since the role requires proven leadership abilities, think of examples where you've led a team or mentored junior engineers. Discuss how you foster knowledge sharing and develop training materials, as this will show your commitment to team growth and collaboration.
✨Communicate Effectively
Strong communication skills are essential for engaging with clients and stakeholders. Practice articulating complex technical concepts in simple terms, and prepare to discuss how you've successfully collaborated with non-technical teams in the past.
✨Demonstrate Strategic Thinking
Prepare to discuss your strategic mindset regarding scalability, performance, and innovation. Think about how you've approached problem-solving in previous roles and be ready to share insights on how you can contribute to the company's long-term goals.
