Summary: Seeking a Lead Data Engineer with expertise in designing and delivering cloud-native data solutions, strong data architecture skills, and the ability to build high-performing data platforms. Highlights: 1. Lead cloud-native data solutions within Microsoft-based environments 2. Strengthen data-driven decision-making and scalable analytics 3. Provide technical leadership and mentor junior engineers Our client is seeking a Lead Data Engineer with strong expertise in designing and delivering cloud\-native data solutions, particularly within Microsoft\-based environments. This opportunity is suited to a technically strong professional with deep experience in data architecture, data modelling, and scalable pipeline development, who can help build high\-performing data platforms aligned with business goals. The role will play an important part in strengthening data\-driven decision\-making across the organization and enabling scalable analytics capabilities. In addition to hands\-on technical depth, the client is looking for someone who can provide clear technical leadership, support the growth of other engineers, and contribute to the long\-term evolution of the data platform. ### **Key requirements for the Lead profile** #### **Technical background** Candidates should demonstrate solid experience across modern data engineering practices, including: * Strong end\-to\-end knowledge of data architecture and solution design, covering ingestion, modelling, storage, and orchestration patterns such as Medallion architecture * Proven experience in cloud\-native engineering, with emphasis on Microsoft technologies such as **Fabric**, **Azure Data Factory**, and **Synapse** * Exposure to other major cloud platforms, including **AWS** and **Google Cloud**, is also valued when supported by comparable tooling experience * Hands\-on experience with data warehouse and data lake technologies such as **BigQuery**, **Azure Data Lake**, **Delta Lake**, or **Amazon Redshift** * Proficiency in languages and technologies commonly used in data engineering, including **Python**, **SQL**, and **Spark** * Practical use of Python data libraries such as **Pandas** and **Boto3** * Strong knowledge of relational and non\-relational database technologies, including examples such as **Oracle**, **MS SQL Server**, **MongoDB**, **ElasticSearch**, and **BigQuery** * Experience applying **DevOps** and **DataOps** practices, including the implementation of **CI/CD pipelines** * Ability to establish data validation processes, lineage controls, documentation standards, and monitoring practices at scale * Proven success in improving pipeline and storage performance while balancing reliability and cost efficiency * Strong technical leadership capability, with the ability to guide teams and communicate effectively in complex environments #### **Leadership and collaboration** The client is also looking for someone who can contribute beyond technical delivery by bringing strong judgement, communication, and team support, including: * Ability to assess trade\-offs and make sound, well\-justified technical decisions * Confidence in translating complex engineering topics into clear explanations for non\-technical stakeholders * Experience mentoring junior and mid\-level engineers, promoting standards, and encouraging a collaborative engineering culture * Capacity to break down unclear or complex challenges into practical steps and lead them through to resolution * Ownership mindset, with the ability to anticipate issues and support the long\-term development of the platform ### **Experience required** * Minimum of **8 years of experience** in data engineering, with a strong focus on cloud\-native solutions and data architecture * English language proficiency of at least **B2 level** **If you got this far you are committed! We want to know you, apply today!** PS: Have a look into our office **Note:** As a potential candidate for this position, you understand and agree that the information provided in your job application, including your resume and cover letter, is strictly confidential. We assure you that this information will not be disclosed to your current employer or any third party without your written consent. By submitting your application, you affirm that all information is true and accurate to the best of your knowledge.
João Santos
Indeed · HR
João Santos
Indeed · HR
