Tech Lead

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Join to apply for the Tech Lead - Data & Cloud Engineering role at dataroots, a Talan company

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At Dataroots, we harness the power of AI and data-driven solutions to revolutionize how companies operate.

At Dataroots, our consulting services focus on designing and delivering AI-powered solutions tailored to optimize business processes. As a Data & Cloud Tech Lead, you'll join a collaborative team dedicated to building the foundational data platforms and infrastructure that bring these solutions to life.

In this advanced role, you will balance hands-on project work (50-80%) with a broad range of leadership responsibilities. You will drive technical excellence, mentor your peers, and set the standard for quality in data and cloud engineering. Your passion for data and its potential will empower you to design, build, and optimise cutting-edge data platforms. You’ll experiment with the latest approaches to ensure every client receives best-in-class solutions.

Working closely with our Machine Learning Engineers, Cloud Architects, Data Strategists, and fellow Data and Cloud Engineers you’ll help execute projects across diverse industries with a comprehensive, quality-driven, end-to-end approach. As a leader within the team, you will shape our technical vision, foster a culture of knowledge sharing, and ensure the continuous growth of your fellow team members.

What You'll Find at Dataroots

Since 2016, Dataroots has been committed to helping clients excel in their data-driven operations. Our approach emphasises team well-being, fostering diversity, and promoting knowledge sharing. By focusing on these values, we've achieved healthy and sustainable growth over the years. We actively encourage professional growth by exposing our employees to different industries, tools, and technologies, broadening their scope in the process.

As part of the Talan Group, we take this approach to the next level, adding international mobility to our employees’ career journeys.

Join a team where your work will have a direct impact on both our clients and our journey. Learn more about our DNA at https://dataroots.io/our-dna.

You bring the following qualities & experiences to the role:

• Master’s or Doctorate in a quantitative field.
• 5+ years of industry experience in data and cloud engineering.
• Proven Expertise in Data & Cloud Engineering: You excel at designing high-performance data platforms and architectures and have experience leading technical teams.
• Leadership & Mentorship: You have a track record of successfully leading and coaching engineering teams. Your experience includes driving internal projects, defining technical roadmaps, and prioritising work to align with quarterly goals.
• Strong Software Engineering Foundations: Proficient with Git, Python, SQL, and Docker, you write clean, maintainable code and advocate for best practices.
• Cloud Engineering Mastery: You have hands-on experience with Terraform and are skilled in building scalable, secure, cloud-based infrastructures on platforms like AWS, Azure, or GCP.
• End-to-End Pipeline Expertise: You can create complex ELT/ETL data pipelines —both batch and streaming— using technologies such as spark/dbt and schedule them with tools like Airflow, Prefect, or Dagster.
• Hands-on Experience with Data Platforms: You are proficient with platforms like Databricks, Snowflake, Azure Data Services, or AWS Data Services.
• Experience with containerisation (Docker, Kubernetes) and orchestration tools.
• Excellent communication skills to translate complex solutions into clear client deliverables and to mentor team members effectively.
• Fluency in English (speaking Dutch/French fluently is a very big advantage).
• Consulting experience is a big plus.

The Offer

• An attractive salary with extralegal benefits, including:

+ Mobility budget or a company car with fuel/charging card

+ Hospitalisation and group insurance

+ High-end laptop

+ Smartphone with subscription

+ Substantial amount of holidays

+ ...

• Diverse and welcoming work environment, where you’ll collaborate & unwind with colleagues from dif