Senior Data Engineer

Job Title: Senior Data Engineer (Azure / Databricks)

Location : UK (Flexible Hybrid)

Salary: Up to 75,000 + Benefits

Are you an engineer who loves working with Databricks? Do you get excited by writing production-grade code to build, scale, and solve complex data platform challenges?

I'm hiring for a global leader in the digital communications space. Their high-throughput platforms process billions of critical messages annually for businesses worldwide. This is a high-scale environment where your work will directly build the future of their global data strategy.

We are looking for a Senior Data Engineer to design, build, and own the data backbone of their global platforms. Your mission will be to engineer the critical data pipelines and warehousing solutions that transform billions of messages into trustworthy, actionable insights.

What You'll Actually Do:

• Design & Build Data Pipelines: Take full ownership of designing, building, and managing the full lifecycle of complex data pipelines using Azure Data Factory, Databricks (Python/PySpark), and advanced SQL.
• Productionise Databricks: Lead the development of robust, scalable solutions on Databricks. This is role focused on production code, Delta Lake, Structured Streaming, and Spark performance tuningnot just ad-hoc notebooks.
• Champion DataOps & CI/CD: Implement and manage CI/CD processes for data pipelines using Azure DevOps. You will be responsible for automating testing, validation, and deployment to ensure data is reliable and trustworthy.
• Engineer the Data Warehouse: Design and build scalable data models (e.g., medallion architecture, dimensional models) to support analytical workloads, ensuring data is optimised for BI and reporting.
• Manage Data Infrastructure: Configure and optimize the underlying data infrastructure from a data engineering lens. This includes managing Databricks clusters, Spark configurations, and ADLS Gen2 storage to ensure high performance and cost-efficiency.
• Partner Across the Business: Partner with Data Analysts, Product Managers, and business leaders to translate requirements into technical designs. You will be the expert voice on data availability, quality, and governance.

What You'll Need:

• Azure Data Expertise: Deep experience in the Microsoft Azure data ecosystem, especially Azure Data Factory, Databricks, and ADLS Gen2.
• Must-Have Databricks Expertise: Strong, hands-on, commercial experience with production-grade Databricks. You must be someone who lives in code, understands distributed systems, and can performance tune complex Spark jobs.
• Strong DataOps / CI/CD Experience: A proven background in implementing and managing CI/CD pipelines for data solutions, specifically using Azure DevOps.
• Expert Programming Skills: Expert-level skills for data transformation and automation, especially in Python (PySpark) and advanced SQL.
• Data Warehousing & Modelling: Proven experience in data warehousing principles and designing data models (e.g., dimensional, medallion) to support analytics.
• Exceptional Communication: The ability to translate complex data concepts and trade-offs to non-technical stakeholders, building trust and consensus.
• Data Infrastructure Knowledge: Experience with Infrastructure as Code (e.g., Terraform) for managing data resources is a significant plus.

What's In It For You?

This company truly invests in its people. The benefits package is outstanding:

• Generous Leave: 27 days holiday + bank holidays + an extra day off for your birthday.
• Work-Life Balance: True flexible hybrid working. Once a month meet-ups, if that.
• Growth: An unlimited budget for your professional and personal development.
• Financial & Family: A basic salary up to 75.000 basic. Enhanced family leave, retirement planning, healthcare, and life assurance.
• Culture: A great, supportive culture with paid volunteer days (giving back days) and fun team socials.

This is a chance to join a stable, global leader and do real, production-grade data engineering.

Interested?

Apply now to find out more.