Data Platform Engineering Lead

Description

Summary: TEKEVER is seeking a Data Platform Engineering Lead to oversee the design, implementation, and maintenance of their Data & Analytics platform, pipelines, and infrastructure. Highlights: 1. Lead and mentor a team of data architects and data engineers. 2. Oversee the design, development, and maintenance of scalable data architectures. 3. Work with cutting-edge Data & AI technologies, including Edge AI and Swarming. **Are you ready to revolutionise the world with TEKEVER?** At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting\-edge advancements meet unparalleled innovation. Digital \| Defence \| Security \| Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance\-as\-a\-service solution that delivers real\-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission\-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission\-oriented game\-changers, delivering the right information at the right time to empower critical decision\-making. If you're passionate about technology and eager to shape the future — TEKEVER is the place for you. **Mission:** The Data Platform Engineering Lead will be responsible for overseeing the design, implementation and maintenance of our Data \& Analytics platform, pipelines and infrastructure. This role requires a combination of strong technical expertise, leadership abilities and a strategic mindset. The ideal candidate will have a proven track record in data architecture, data engineering, cloud and on\-premise technologies, with experience in managing a deeply technical team and driving complex projects to completion. This role involves collaborating with cross\-functional teams to ensure our data platform is robust, scalable, secure and aligned with the company's strategic objectives. **What will be your responsibilities:** * Leadership: Lead and mentor a team of data architects and data engineers, fostering a collaborative and high\-performance culture. For an overview of what our Data Architects do on a day\-to\-day basis, please refer to . For an overview of what our Data Engineers do on a day\-to\-day basis, please refer to . * Platform Development: Oversee the design, development and maintenance of scalable and robust data architectures and pipelines, ensuring efficient data processing, storage and retrieval, including data ingestion, storage, processing, management and analytics components. * Architecture Design: Develop and maintain the architecture of the data platform, ensuring it meets the needs of various business units and supports future growth. * Technology Strategy: Define the technology stack and architecture standards for the data platform, ensuring alignment with industry best practices and emerging trends. * Data Integration: Develop strategies for integrating diverse data sources, ensuring seamless data flow and high data quality. * Scalability and Performance: Design solutions that can scale with growing data volumes and ensure optimal performance across the data platform. * Performance Optimization: Continuously monitor and optimize the performance of the data platform to handle large\-scale data efficiently. * Security and Compliance: Implement robust data security measures and ensure compliance with relevant regulations and industry standards. * Collaboration: Work closely with data scientists, analysts, product managers and other stakeholders to understand data requirements and deliver effective solutions. * Innovation: Stay up\-to\-date with the latest advancements in data technologies and drive continuous innovation within the data platform. * Documentation: Maintain comprehensive documentation of data pipelines, ETL processes and architectural decisions. **Profile and requirements:** * **Education:** Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field. * **Experience:** 7\+ years of experience in data engineering or a similar role, with at least 3 years in a leadership position. * **Technical Expertise:** + Strong experience with Data Platform reference architectures (e.g. Lambda architecture, Data Mesh). + Deep knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Redshift, Snowflake). + Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Google Cloud certification is preferred. + Experience with migration from on\-premise to cloud and vice versa. + Good knowledge of relevant security frameworks \& standards. + Proficiency in programming languages such as Python, Java, or Scala. + Strong understanding of database management systems (e.g., SQL, NoSQL, NewSQL). Experience with SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). + Knowledge of data integration tools and frameworks (e.g., Apache Nifi, Talend, Informatica). + Familiarity with data modeling, data warehousing and data governance practices. + Experience with Iaac (e.g. Ansible, Terraform), data pipeline orchestration (e.g. Airflow), log exploration tools (e.g. Streamlit, Dash), data extraction (e.g. PostGIS, Kafka, Airflow, FastAPI), pandas, scikit\-learn, Docker. + Solid knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc. * **Analytical Skills:** Strong analytical and problem\-solving skills with a focus on delivering scalable and efficient data solutions. * **Leadership:** Proven leadership skills with experience in building and leading high\-performing teams. * **Communication:** Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non\-technical stakeholders. * **Project Management:** Strong project management skills with the ability to manage multiple projects and priorities simultaneously. * **Attention to Detail:** High attention to detail and a commitment to ensuring data quality and accuracy. * **Adaptability:** Ability to work in a fast\-paced, dynamic environment and manage multiple priorities simultaneously. **What we have to offer you:** * An excellent work environment and an opportunity to create a real impact in the world; * A truly high\-tech, state\-of\-the\-art engineering company with flat structure and no politics; * Working with the very latest technologies in Data \& AI, including Edge AI, Swarming \- both within our software platforms and within our embedded on\-board systems; * Flexible work arrangements; * Professional development opportunities; * Collaborative and inclusive work environment; * Salary compatible with the level of proven experience. Do you want to know more about us ? Visit our LinkedIn page at https://www.linkedin.com/company/tekever/