Job Title: Databricks Data Engineer
About the Role
My client is a specialist data consultancy dedicated to helping businesses unlock the full potential of their data. They provide innovative solutions and expert guidance across various areas, including AI readiness, data literacy and culture, real-time analytics, and managing data from mergers and acquisitions.
With a strong emphasis on creativity and innovation, my client focuses on delivering outstanding results by harnessing data to drive business growth and operational efficiency.
This is an exciting opportunity for Data Engineers to play a key role in assisting clients in navigating the complexities of data management, analytics, and strategic implementation.
Key Responsibilities
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Utilise a broad set of data engineering skills with a focus on Microsoft Azure, while experience with other cloud platforms is a plus.
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Build and maintain strong relationships with clients, collaborating effectively with both business and technical teams.
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Develop end-to-end data solutions in a team-oriented environment, ensuring performance and scalability.
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Deliver high-quality work, identifying challenges and proactively escalating issues while offering potential solutions.
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Contribute to the growth of the consultancy practice through knowledge-sharing initiatives and enhancement of data services.
Essential Technical Skills
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Extensive experience in designing and implementing data solutions within the Databricks Data Intelligence platform on Azure or AWS.
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Strong understanding of Databricks components such as Delta Lake, Unity Catalog, and ML Flow.
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Proficiency in SQL, Python, and Spark (Scala or Python).
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Experience working with relational SQL databases in cloud or on-premise environments.
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Expertise in key data techniques such as Data Governance, Architecture, Modelling, ETL/ELT, Data Lakes, Warehousing, Master Data, and Business Intelligence.
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Solid understanding of Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipelines.
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Hands-on experience with tools like Kafka, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft Fabric is a strong advantage.
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Knowledge of data modelling methodologies and frameworks including Inmon, Kimball, and Data Vault
Benefits
My client fosters a high-performance work culture that rewards excellence and supports career growth. They provide exciting opportunities and challenges to create meaningful change for their clients.
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Competitive base salary
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Annual performance-based bonus
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Hybrid working model (home/on-site/office in Edinburgh, Manchester, or London)
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25 days of annual leave plus bank holidays
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Additional day off for your birthday
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Structured career progression with dedicated learning and development investment
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Access to Udemy and internal knowledge-sharing sessions
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Life insurance and private medical health coverage
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Contributory pension scheme
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Health and well-being support initiatives
Application Process
If you are passionate about data and seeking to join a leading consultancy, this could be the perfect opportunity for you. Please submit your CV detailing relevant experience and certifications.
Applicants must have the right to work in the UK without requiring current or future sponsorship. Visa sponsorship is not available for this role.
If you are interested in this role please apply or reach out to me @