Senior Data Engineer & People Lead

Senior Data Engineer & People Lead

Zühlke Group

Porto, Portugal

How you’ll make impact

• Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.
• Communicating the what, why and how of proposed solutions to technical and non-technical stakeholders.
• Mastering the big data world whilst developing, testing, and monitoring distributed data processing pipelines.
• Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
• Collaborating with other data roles such as Architects, Software Engineers and Data Scientists with ease.
• Understanding the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements.
• Delivering projects in an Agile way, building iteratively to produce value from data early and frequently.
• Keeping yourself technically sharp, being open to learning new concepts and technologies.
• Leading a team of passionate engineers, helping them grow and develop.

What is important to us

• You have a degree in computer science, software engineering or a comparable education (e.g. mathematics).
• Several years in software development or data engineering positions.
• Experience of designing, building and maintaining data products that meet the needs of data consumers.
• An understanding of common approaches to data analysis, machine learning and data visualisation so you can produce the right data for data consumers.
• Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Mesh, Data Warehouse, streaming, batch processing).
• In addition to your knowledge of Python and SQL, you ideally have hands-on skills or a keen interest in such technologies as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes, and Java or .NET.
• You have a good understanding of the possibilities of large public cloud environments and preferably have already used Amazon AWS, MS Azure or Google's GCP clouds.
• Hands-on experience with databases both relational and NoSQL.
• Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
• Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).
• Working knowledge of containerization and public and private Cloud environments.
• Knowledgeable about information security and data governance.
• Excellent and practical data programming skills with experience in different programming languages like Java or Python.
• You have experience delivering projects to deadlines, with an emphasis on quality, ideally in client facing contexts.

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