Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimise Azure data pipelines and automate workflows for impactful data solutions.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference by working with cutting-edge Azure technologies and data solutions.
- Qualifications: Experience with Azure Data Factory, SQL, Power BI, and strong problem-solving skills.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking an experienced Azure Data Engineer to deliver independent, outcome-based services for the development and optimization of Azure data pipelines, reporting solutions, and workflow automation. The consultant works autonomously using their own methods and tools.
Engagement Phases
- Q1 – Knowledge Transfer: Independent familiarization with existing landscape.
- Q2 onward – Service Delivery: Execution of defined outcomes.
Data Pipelines & Integration
- Build and maintain Azure Data Factory ETL/ELT pipelines.
- Integrate structured/unstructured data into Azure SQL.
- Monitor and optimize pipeline performance.
Data Visualization & Reporting
- Develop and improve Power BI datasets and dashboards.
- Apply strong DAX, Power Query, and data modelling practices.
- Define reporting requirements from stakeholder inputs.
Workflow Automation
- Create and maintain Logic Apps and Power Automate workflows.
- Implement monitoring, alerts, and error-handling.
Development & Deployment
- Use Azure DevOps for Git, CI/CD, and deployment automation.
- Maintain technical documentation, architecture, and runbooks.
- Apply secure development practices (RBAC, Key Vault, service principals).
Governance & Delivery
- Provide monthly progress and deliverable reviews.
- Ensure documentation meets agreed technical standards.
Deliverables
- Operational data pipelines and integration workflows.
- KPI-aligned Power BI dashboards.
- Automated business workflows.
- CI/CD deployment pipelines.
- Complete technical documentation.
Required Skills
- Azure Data Factory (pipelines, data flows, triggers).
- Azure SQL (T-SQL, modelling, performance tuning).
- Power BI (DAX, Power Query, data models).
- Logic Apps / Power Automate.
- Azure DevOps (Git, CI/CD).
- Strong documentation and troubleshooting skills.
- Ability to work independently and deliver outcomes end-to-end.
Nice-to-Haves
- Databricks or Synapse, ADLS, Parquet/Delta.
- IaC (Bicep, ARM, Terraform).
- Azure Monitor / Log Analytics.
- Python for data tasks.
Azure Data Engineer -Integration & Automation (m/f/d) in London employer: Michael Bailey Associates
Contact Detail:
Michael Bailey Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer -Integration & Automation (m/f/d) in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the hunt for an Azure Data Engineer role. You never know who might have a lead or can refer you directly to a hiring manager.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a personal project or contributing to open-source projects that showcase your expertise in Azure Data Factory, Power BI, and automation tools. This not only builds your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for those interviews by brushing up on common questions related to Azure SQL, DAX, and CI/CD practices. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and how you tackle challenges.
✨Tip Number 4
Don't forget to apply through our website! It’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us!
We think you need these skills to ace Azure Data Engineer -Integration & Automation (m/f/d) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Power BI, and other relevant tools. 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 the Azure Data Engineer role. Share specific examples of your past work that align with our needs, and let your personality come through.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled challenges in data integration or automation. We love seeing how you approach problems and deliver outcomes independently, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Michael Bailey Associates
✨Know Your Azure Stuff
Make sure you brush up on your Azure Data Factory, Azure SQL, and Power BI skills. Be ready to discuss specific projects where you've built ETL/ELT pipelines or created dashboards. The more concrete examples you can provide, the better!
✨Show Off Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially around data integration and workflow automation. Think of a few scenarios where you optimised pipeline performance or implemented monitoring solutions, and be ready to explain your thought process.
✨Get Familiar with CI/CD Practices
Since this role involves Azure DevOps, make sure you understand Git, CI/CD, and deployment automation. You might be asked about your experience with these tools, so having a couple of examples of how you've used them in past projects will really help you stand out.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tech stack they use, or how they measure success in this role. This shows your genuine interest and helps you gauge if the company is the right fit for you.
