Senior Data Engineer

Commify; Nottingham; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A tech-focused company is seeking a talented Senior Data Engineer to design and implement data architectures and pipelines. This role involves collaboration with cross-functional teams to enhance data accessibility and reliability. The ideal candidate has extensive experience with Azure services, strong SQL skills, and the ability to mentor junior engineers. The position offers a competitive salary, flexible working conditions, and various employee benefits.

Benefits

Competitive Salary

Flexible working

Generous paid leave

Mental Health Support

Unlimited learning opportunities

Qualifications

• Extensive experience as a Data Engineer in a principal or lead capacity.
• Deep expertise in Azure data platform services.
• Strong proficiency in SQL and Python.

Responsibilities

• Lead design and implementation of data pipelines and ETL/ELT processes.
• Architect manage data solutions within the Azure ecosystem.
• Collaborate with data scientists and analysts to meet data requirements.

Skills

Azure Databricks

SQL

Python

Data Governance

Data Quality

Data Security

ETL/ELT Processes

Data Modelling

Problem-Solving

Tools

Azure Data Factory

Git

Docker

Kubernetes

Job description

About the Role

We’re on the look out for a super talented, highly experienced Senior Data Engineer to engage with our data engineering initiatives. In this role, you will be responsible for designing and implementing robust data architectures and pipelines that enhance our ability to derive meaningful insights from our data. You will play a critical role in driving data‑driven decision making and will collaborate closely with cross‑functional teams to ensure that data is accessible, reliable, and valuable.

Key Responsibilities

• Lead the design, development, and implementation of high-performance, scalable, and reliable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, and other Azure data services.
• Architect and manage data solutions within the Azure ecosystem, including Azure Data Lake Storage, Databricks, Databricks DLT and Streaming and Event Based Architectures.
• Drive the adoption of best practices for data governance, data quality, data security, and data lineage.
• Collaborate closely with data scientists, analysts, and other engineering teams to understand data requirements and translate them into technical solutions.
• Optimise data processing performance and cost efficiency on Azure Databricks, leveraging Spark capabilities effectively.
• Develop and maintain robust monitoring, alerting, and logging for data pipelines.
• Mentor and provide technical guidance to junior and mid-level data engineers, fostering a culture of continuous learning and improvement.
• Evaluate and recommend new data technologies and tools to enhance our data platform capabilities.
• Contribute to the overall data strategy and roadmap, ensuring alignment with business objectives.
• Troubleshoot and resolve complex data-related issues in a timely manner.

What You’ll Bring

• Extensive experience as a Data Engineer, with a significant portion in a principal or lead capacity.
• Deep expertise in Azure data platform services, including:
  • Azure Databricks (extensive hands‑on experience with Spark, Python/Scala for real‑time data processing).
  • Azure Data Factory (maintaining complex data pipelines).
  • Azure Data Lake Storage.
  • Azure SQL Database and/or Azure Synapse Analytics.
• Strong proficiency in SQL.
• Exposure to Infrastructure as Code and CICD deployments.
• Excellent programming skills in Python (Scala is a strong advantage).
• Proven experience with data modelling, schema design, and data warehousing concepts.
• Solid understanding of data governance, data quality, and data security principles.
• Experience with version control systems (e.g., Git).
• Strong problem‑solving abilities and a methodical approach to complex technical challenges.
• Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non‑technical stakeholders.
• Proven ability to lead and mentor other engineers.

Desirable

• Experience with real‑time data streaming technologies (e.g., Azure Event Hubs, Kafka).
• Knowledge of CI/CD pipelines for data solutions.
• Familiarity with containerisation technologies (e.g., Docker, Kubernetes).
• Experience with other cloud platforms (AWS, GCP) is a plus.
• Relevant Microsoft Azure certifications (e.g., Azure Data Engineer Associate).

What We Offer

(Offering may vary by location, but we do guarantee competitive employee benefits)

• Competitive Salary range of £65 – 75,000 per annum
• Flexible working
• Generous paid leave
• Enhance family leave
• Enjoy your Birthday off – because it’s your day!
• Mental Health Support through our Wellbeing partner, Calm
• Wellbeing leave and a Mental Health First Aider program
• Giving back days to help support causes close to your heart
• Unlimited professional & personal learning
• Total Rewards including retirement planning, healthcare and life assurance

• And did we mention our epic team socials? We know how to celebrate in style!