At a Glance
- Tasks: Help clients unlock data potential through engineering and analytics.
- Company: Join a forward-thinking UK-based data consultancy leading in data strategy.
- Benefits: Enjoy flexible work options and a collaborative team culture.
- Other info: Ideal for self-motivated team players passionate about data and AI.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Expertise in Databricks, SQL, and Apache Spark required.
The predicted salary is between 36000 - 60000 £ 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 in Manchester employer: Alvarium Talent
Join a dynamic and innovative data consultancy that prioritises employee growth and collaboration, offering a vibrant work culture where your contributions directly impact client success. With a focus on cutting-edge technologies and a commitment to professional development, this role provides the opportunity to work alongside industry experts in a supportive environment that values creativity and initiative. Located in the UK, you'll enjoy a flexible work-life balance and the chance to be part of a forward-thinking team dedicated to unlocking the potential of data.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Databricks in Manchester
✨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 or similar technologies. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and challenges in data engineering.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully implemented data solutions. Think of specific examples that highlight your problem-solving skills and ability to deliver high-impact work, as these will resonate well during interviews.
✨Tip Number 4
Stay updated on the latest advancements in data technologies like Apache Spark, Kafka, and Snowflake. Being knowledgeable about these tools will not only boost your confidence but also show that you are proactive and passionate about the evolving landscape of data engineering.
We think you need these skills to ace Data Engineer - Databricks in Manchester
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 skills and ability to work under pressure. Provide examples of how you've effectively engaged with stakeholders in past experiences.
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. Highlight specific projects where you've successfully built and deployed data solutions, as this will demonstrate your hands-on expertise.
✨Understand the Data Engineering Lifecycle
Familiarise yourself with the entire data engineering lifecycle, including Agile delivery and DevOps practices. Be ready to explain how you have applied these methodologies in past roles to improve efficiency and deliver high-quality results.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you've identified challenges in data pipelines and how you proposed scalable solutions, as this will showcase your critical thinking abilities.
✨Engage with Stakeholders
Since the role involves working closely with clients and cross-functional teams, prepare to discuss how you've effectively communicated technical concepts to non-technical stakeholders. This will highlight your ability to bridge the gap between business needs and technical solutions.
