Data Engineer Lead

Are you passionate about building data solutions that empower organizations to make smarter decisions? Redslim is seeking a Data Engineer Lead to drive innovation and scalability across our enterprise data architecture. This is a leadership role for someone who thrives on solving complex technical challenges, mentoring teams, and delivering high-performance data solutions that enable meaningful business impact.We’re looking for a strategic thinker with expert technical skills in Python, PySpark, and cloud technologies, who can transform vision into execution. We are looking for a Data Engineer who has the mission and vision to become a Senior Data Engineer creating and leveraging AI agentic framework to deliver to client requirements. If you love leading through collaboration and want to shape the future of data engineering at a global scale, this opportunity is for you.About the RoleAs Data Engineer Lead, your mission will be to design, develop, and implement robust, scalable, and high-performing data solutions. You will lead a team of talented engineers to deliver projects that align with Redslim’s business objectives, oversee data architecture evolution, and collaborate with cross-functional stakeholders to turn complex data challenges into actionable strategies.Key ResponsibilitiesLead the design and architecture of complex, enterprise-grade data solutions leveraging the Redslim platform.Develop and execute the data engineering strategy in alignment with company goals.Act as the primary technical contact for clients, understanding their data needs and overseeing solution delivery.Report regularly to senior leadership on team performance, resourcing, and strategic initiatives.Champion best practices in data governance, quality, and security.Mentor and develop senior and junior data engineers to foster technical growth and innovation.Evaluate emerging technologies to enhance Redslim’s data platforms and drive continuous improvement.Collaborate with other business units to translate data requirements into actionable engineering initiatives.What we’re Looking ForExperience:6+ years in data engineering, with leadership experience in technical teams.3+ years of team leading experience.Expert-level proficiency in Python and PySpark, including complex data pipeline development.Deep understanding of SQL, Azure Data Factory, Blob Storage, Azure Functions, and Databricks (including Delta Lake, Spark SQL, Unity Catalog).Expertise in CI/CD principles and Azure DevOps workflows.Strong grasp of data modelling, warehousing, governance, and enterprise-scale architecture.Familiarity with tools such as Snowflake, Airflow, dbt, or comparable data technologies.Experience with Infrastructure as Code (Terraform or ARM templates) is a plus.Certifications such as Databricks Certified Data Engineer Professional or Microsoft Certified: Azure Data Engineer Associate are desirable.Skills:Outstanding communication skills, capable of presenting complex technical ideas clearly to diverse audiences.Proven ability to lead, motivate, and inspire technical teams.Exceptional problem-solving and analytical mindset.Strong time management—able to manage multiple strategic projects concurrently.Passion for learning, innovation, and staying ahead of emerging trends.Adaptable and comfortable with fast-paced environments.Committed mentor and team collaborator, fostering growth and excellence.This exciting position is available in France, Portugal, Spain or the UKAbout RedslimRedslim streamlines data management for teams faced with the request to leverage fragmented datasets for critical decision making. Specialized in data engineering, harmonization and BI, their teams manage data from over 50 agencies and covering more than 55 countries. Their technology-enabled services optimize data consumption for more than 30 global organizations. Active for more than 10 years, Redslim is constantly innovating their solutions to always meet the evolving needs of their clients and data partners.Learn more at www.redslim.net and follow Redslim on LinkedIn.