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- Tasks: Help clients unlock data potential by building and maintaining high-performance data pipelines.
- Company: Join a forward-thinking UK-based data consultancy leading in data strategy and analytics.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Other info: Ideal for self-motivated team players passionate about data and AI.
- Why this job: Be at the forefront of data innovation, making a real impact in diverse industries.
- Qualifications: Expertise in Databricks, SQL, and Apache Spark is essential; familiarity with modern data technologies is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Data Engineer – Data Consultancy
A forward-thinking UK-based data consultancy is seeking talented Data Engineers to help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving landscape of data strategy, engineering, and analytics
Key Responsibilities:
- Forge strong partnerships with clients and cross-functional teams, bridging the gap between business needs and technical solutions.
- Deliver high-impact work with precision, proactively identifying challenges and proposing smart, scalable solutions.
- Architect and maintain resilient, high-performance data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources.
Required Skills & Experience:
- Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse .
- Strong skills in SQL and Apache Spark (Scala or Python).
- A strong foundation in data disciplines such as governance , architecture , modelling , data lakes , warehousing , MDM , and BI .
- Advanced skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments.
- Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake .
- A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration .
Nice to have:
- Databricks Certified Data Engineer Associate
- Databricks Certified Data Engineer Professional
The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful solutions under pressure, able to work independently or collaboratively to meet tight deadlines and engage confidently with senior stakeholders.
If you are passionate about data and AI and are ready to take a leadership role in a forward-thinking, UK based consultancy at the forefront of the industry, we would love to hear from you.
Please note: Applicants must have the right to work in the UK. Visa sponsorship is not available, either now or in the future.
Data Engineer - Databricks employer: Alvarium Talent
Contact Detail:
Alvarium Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Databricks
✨Tip Number 1
Familiarise yourself with Databricks and its ecosystem. Since this role specifically requires expertise in Databricks, consider exploring online courses or tutorials that focus on building data solutions using this platform. This will not only enhance your skills but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Databricks. Attend industry meetups, webinars, or online forums where you can connect with others and gain insights into the latest trends and best practices in data engineering.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you identified challenges and implemented effective solutions. Be ready to discuss these experiences during interviews, as they highlight your ability to deliver high-impact work under pressure.
✨Tip Number 4
Stay updated on modern data technologies like Apache Spark and Snowflake. Understanding how these tools integrate with Databricks will give you an edge. Consider contributing to open-source projects or personal projects that utilise these technologies to further bolster your experience.
We think you need these skills to ace Data Engineer - Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, and Apache Spark. Use specific examples of projects where you've built data pipelines or worked with cloud technologies to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI. Mention how your skills align with the company's needs and provide examples of how you've successfully delivered data solutions in previous roles.
Showcase Relevant Projects: If you have any personal or professional projects that showcase your skills in data engineering, especially using Databricks or similar platforms, include them in your application. This can set you apart from other candidates.
Highlight Soft Skills: Since the role requires strong collaboration with clients and teams, emphasise your communication and teamwork skills. Provide examples of how you've effectively engaged with stakeholders in past projects.
How to prepare for a job interview at Alvarium Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, SQL, and Apache Spark in detail. Bring examples of projects where you've built data pipelines or solved complex data challenges, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the consultancy's clients and their industries. Be ready to explain how your technical solutions can address specific business needs, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Demonstrate Problem-Solving Abilities
Prepare for scenario-based questions where you might need to identify challenges in data engineering processes. Think through your approach to problem-solving and be ready to propose scalable solutions that align with best practices.
✨Emphasise Team Collaboration
Highlight your experience working in cross-functional teams and your ability to communicate effectively with both technical and non-technical team members. Share examples of how you've successfully collaborated to deliver high-impact projects.