Tech Lead

ph3Your Role /h3 pAt Dataroots, our consulting services focus on designing and delivering AI-powered solutions tailored to optimize business processes. As a Data platform Engineering Tech Lead, you'll join a collaborative team dedicated to design and built data pipelines, data models and help shaping the technical vision of our data platform engineering unit. /p pIn 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. /p h3What you will be doing /h3 ul lipDesign deliver data platforms end-to-end: cloud architecture, workspace topology, networking, identity access, data governance, and platform automation for clients across diverse industries. /p /li lipSet the engineering standard: define reference architectures, infrastructure-as-code patterns, CI/CD blueprints, and platform best practices that the whole team builds on. /p /li lipLead client engagements: run architecture workshops, translate complex platform decisions into clear deliverables (solution designs, ADRs, roadmaps), and act as the trusted technical counterpart for client stakeholders. /p /li lipShape the internal roadmap: drive the technical vision of the data platform unit, lead internal initiatives and accelerators, define quarterly priorities, and contribute to knowledge sharing formats such as RootsAcademy. /p /li lipMentor grow the team: coach platform and cloud engineers, review designs and code, support hiring and skill development, and foster a culture of quality and continuous learning. /p /li lipWorking closely with our Data Engineers, Machine Learning Engineers, Cloud Architects, and Data Strategists, you'll help execute projects with a comprehensive, quality-driven, end-to-end approach. /p /li /ul h3What You'll Find at Dataroots /h3 pSince 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. /p pAs part of the bTalan Group /b, we take this approach to the next level, adding international mobility to our employees’ career journeys. /p pJoin a team where your work will have a direct impact on both our clients and our journey. /p h3What We’re Looking For /h3 pYou bring the following qualities experiences to the role: /p ul lipMaster's or Doctorate in a quantitative field. /p /li lip5+ years of industry experience in data platform, cloud, or infrastructure engineering. /p /li lipProven expertise in data platforms: deep hands-on experience designing and operating platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Services, or AWS Data Services including governance (e.g. Unity Catalog, Purview), security, networking, and cost management. /p /li lipStrong cloud engineering DevOps foundations: expert-level Terraform (or equivalent IaC), CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI), containerisation (Docker, Kubernetes), and platform automation. You treat platforms as products and infrastructure as code. /p /li lipYou work AI-assisted by default: daily, hands-on use of LLMs and coding agents (Claude, GPT, Claude Code, Copilot, Cursor, ...) as part of how you design, write, and review code and the judgment to know when their output is wrong. /p /li lipLeadership mentorship: 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. You stay up to date and have an oversight of what are the industry trends and can set the quality bar internally. /p /li lipSecurity governance mindset: hands-on experience with identity access management, network isolation, encryption (CMK/BYOK), data residency requirements, and compliance-driven platform design. /p /li lipSolid data engineering understanding: you know how ELT/ETL pipelines, orchestration tools (Airflow, Dagster, Prefect), Spark, and dbt are used on the platforms you build, well enough to design platforms that serve them. /p /li lipStrong software engineering foundations: proficient with Git, Python, and SQL; you write clean, maintainable code and advocate for engineering best practices. /p /li lipExcellent communication skills to translate complex platform architectures into clear client deliverables and to mentor team members effectively. -