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 architectureProven experience in cloud‐native engineering, with emphasis on Microsoft technologies such asFabric ,Azure Data Factory, andSynapseExposure to other major cloud platforms, includingAWSandGoogle Cloud, is also valued when supported by comparable tooling experienceHands‐on experience with data warehouse and data lake technologies such asBigQuery ,Azure Data Lake ,Delta Lake, orAmazon RedshiftProficiency in languages and technologies commonly used in data engineering, includingPython ,SQL, andSparkPractical use of Python data libraries such asPandasandBoto3Strong knowledge of relational and non‐relational database technologies, including examples such asOracle ,MS SQL Server ,MongoDB ,ElasticSearch, andBigQueryExperience applyingDevOpsandDataOpspractices, including the implementation ofCI/CD pipelinesAbility to establish data validation processes, lineage controls, documentation standards, and monitoring practices at scaleProven success in improving pipeline and storage performance while balancing reliability and cost efficiencyStrong technical leadership capability, with the ability to guide teams and communicate effectively in complex environmentsLeadership 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 decisionsConfidence in translating complex engineering topics into clear explanations for non‐technical stakeholdersExperience mentoring junior and mid‐level engineers, promoting standards, and encouraging a collaborative engineering cultureCapacity to break down unclear or complex challenges into practical steps and lead them through to resolutionOwnership mindset, with the ability to anticipate issues and support the long‐term development of the platformExperience requiredMinimum of8 years of experiencein data engineering, with a strong focus on cloud‐native solutions and data architectureEnglish language proficiency of at leastB2 level#J-18808-Ljbffr