Azure Data Engineer — Scalable Pipelines (ADF, Databricks)

Azure Data Engineer — Scalable Pipelines (ADF, Databricks)

Freelance 70000 - 80000 £ / year (est.) Home office (partial)
Involved Solutions

At a Glance

  • Tasks: Design and maintain scalable data pipelines using Azure technologies.
  • Company: Well-established consultancy driving impactful data transformation projects.
  • Benefits: Competitive daily rate, flexible work location, and potential for contract extension.
  • Other info: Opportunity to work with industry experts and grow your career in data engineering.
  • Why this job: Join a high-impact project and enhance your skills in a dynamic environment.
  • Qualifications: Experience with Azure Data Factory, Databricks, SQL, and Python required.

The predicted salary is between 70000 - 80000 £ per year.

We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension.

Key Responsibilities - Azure Data Engineer:
  • Design, build and maintain scalable and secure data pipelines on the Azure platform.
  • Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.
  • Optimise ETL/ELT processes to improve performance, reliability and efficiency.
  • Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.
  • Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.
  • Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).
Required Skills & Experience - Azure Data Engineer:
  • Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure.
  • Azure Data Factory.
  • Azure Databricks (PySpark).
  • SQL & Python.
  • Understanding of CI/CD in a data environment, ideally with tools like Azure DevOps.
  • Experience working within consultancy or client-facing projects is highly desirable.

Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme.

Azure Data Engineer — Scalable Pipelines (ADF, Databricks) employer: Involved Solutions

Join a dynamic consultancy that champions innovation and collaboration, offering an exciting opportunity for Azure Data Engineers to work on high-impact data transformation projects in the heart of Central London. With a strong focus on employee growth, you will benefit from a supportive work culture that encourages continuous learning and professional development, while enjoying the vibrant city life just steps away from your workplace.

Involved Solutions

Contact Details:

Involved Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Azure Data Engineer — Scalable Pipelines (ADF, Databricks)

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects with Azure Data Factory and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've optimised ETL processes or integrated data sources. We want to hear your success stories!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Azure Data Engineer — Scalable Pipelines (ADF, Databricks)

Azure Data Factory
Azure Databricks (PySpark)
SQL
Python
Data Pipeline Design
ETL/ELT Optimisation
Data Integration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Azure Data Factory, Databricks, and any relevant projects. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific projects or experiences that relate to the responsibilities listed in the job description.

Showcase Your Technical Skills:Since this role focuses on technical expertise, make sure to include any relevant certifications or training in Azure technologies. We love seeing candidates who are proactive about their professional development!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at Involved Solutions

Know Your Azure Inside Out

Make sure you brush up on your Azure Data Factory and Databricks skills. Be ready to discuss how you've designed and built scalable data pipelines in the past, and have specific examples at hand that showcase your experience with ETL/ELT processes.

Showcase Your Collaboration Skills

Since this role involves working closely with Data Architects and Analysts, be prepared to talk about your experience in collaborative projects. Highlight instances where you’ve successfully integrated multiple data sources and how you ensured best practices were followed.

Understand Compliance and Security

Familiarise yourself with data governance policies, especially GDPR and ISO standards. Be ready to discuss how you’ve ensured compliance in previous roles, as this is crucial for the consultancy's clients.

Prepare for Technical Questions

Expect technical questions related to SQL, Python, and CI/CD processes. Brush up on your coding skills and be ready to solve problems on the spot. Practising common interview questions can help you feel more confident.