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- Tasks: Lead data engineering projects using Azure Databricks and create scalable data solutions.
- Company: Join a B Corpâ„¢ accredited consultancy with a global team of 8,000 specialists.
- Benefits: Competitive salary of €70,000, remote work, and inclusive recruitment processes.
- Why this job: Make an impact by combining human expertise with AI in innovative tech solutions.
- Qualifications: Strong experience with Azure Databricks, Python, SQL, and data engineering principles.
- Other info: Flexible application process to ensure everyone can showcase their best self.
The predicted salary is between 42000 - 84000 £ per year.
Futureheads have partnered with a consultancy that combines human expertise with AI to deliver scalable tech solutions, working with 1,000 clients over 30 years and a global team of 8,000 specialists.
As Data Tech Lead (Azure & Databricks), you’ll have end-to-end ownership of data engineering initiatives – from infrastructure and pipelines through to analytics and BI enablement.
What you’ll do:
- Design, build, and maintain scalable data pipelines using Azure Databricks (PySpark, Spark SQL, Delta Lake).
- Implement code-first data engineering solutions, following strong software engineering and DataOps principles.
- Orchestrate data ingestion and transformation using Azure Data Factory.
- Integrate data from APIs, relational databases, event-driven systems, and files.
- Apply ETL/ELT patterns for analytical and operational use cases.
- Ensure data quality, reliability, security, and governance using Azure-native services.
- Collaborate with analytics, BI, and business teams to turn requirements into robust data solutions.
- Support analytics use cases with dbt where relevant and enable downstream consumption (e.g. Power BI).
- Take technical ownership of projects, influencing architecture decisions and best practices.
- Implement and maintain unit, integration, and end-to-end tests, plus CI/CD for data workloads.
What you’ll bring:
- Strong experience with Azure Databricks and Spark (PySpark, Spark SQL).
- Advanced Python skills, with clean code practices and dependency management (Poetry, venv, etc.).
- Advanced SQL and solid understanding of distributed data processing and large-scale data architectures.
- Hands-on experience with Azure Data Factory.
- Familiarity with dbt and basic knowledge of Power BI data models.
- Basic understanding of ML concepts as they relate to data preparation and feature engineering.
- Experience with Infrastructure as Code (ideally Terraform on Azure) and Azure DevOps (CI/CD, version control).
- Strong ownership, problem-solving, and communication skills, plus advanced spoken English.
Salary working options:
In the region of €70,000 (candidates after more would still be considered). Remote based in Portugal.
We encourage applicants from all backgrounds, so if there is anything we can do to make our recruitment processes better for you and to allow you to show your best self, let us know. We also understand that some people require extra time to complete assessments, require alternative application methods and can also benefit from having interview questions or a guide to the type of questions pre-interview. We are open to any suggestions or requests that you may have and are always looking for creative ways to assess talent. Our commitment to you is that you should always feel safe and secure when you’re working with us.
Futureheads is a B Corpâ„¢ accredited digital recruitment agency based in London. We specialise in recruiting permanent, contract and freelance digital and tech professionals in creative, data, design, digital marketing, engineering, product, project and programme management, UX and service design jobs.
Data Tech Lead employer: Futureheads
Contact Detail:
Futureheads Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Tech Lead
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Tech Lead role.
✨Tip Number 2
Prepare for those interviews by practising common questions related to Azure Databricks and data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository with projects that highlight your experience with Azure, PySpark, and data pipelines. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data Tech Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Tech Lead role. Highlight your experience with Azure Databricks, Spark, and any relevant projects you've worked on. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your problem-solving skills and how you’ve taken ownership of projects in the past.
Showcase Your Projects: If you have any personal or professional projects that demonstrate your skills in data pipelines, ETL/ELT patterns, or Azure services, include them! We love seeing real-world applications of your work, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Futureheads
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks, PySpark, and Spark SQL. Brush up on your knowledge of data pipelines and ETL/ELT patterns, as these will likely come up during the interview. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ownership and problem-solving abilities, which are crucial for a Data Tech Lead.
✨Communicate Clearly and Confidently
Since strong communication skills are essential for this role, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical stakeholders and show that you can collaborate effectively with analytics and business teams.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data engineering practices, team dynamics, and future projects. This not only shows your interest in the role but also helps you assess if the company is the right fit for you.
