Data Engineer

We work on Projects for purpose, making it our mission to give our work a deeper meaning, ensuring we are focused on creating positive change through technology and digital innovation. We are Flexible, offering a variety of working options to cater to our people's needs. We pride ourselves on having a Growth mindset with a strong learning culture and we invest in learning and development but also believe strongly in learning on the job and through mentorship and coaching. Sustainability is one of our top strategic goals. We are carbon neutral as a business, and we are strategically positioning our business offerings in decarbonisation, healthcare and green energy to help clients develop sustainable digital solutions. We care about the work we do. Diversity and inclusion are also high on the agenda. We are constantly looking to improve and develop, increasing diversity and developing a more inclusive workplace for all.

• 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.
• Underatanding 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 different data roles such as Architects, Software Engineers and Data Scientists with ease.
• Understanding the needs of multiple 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.
• Working collaboratively with colleagues and clients, be it onsite, in the Zuhlke office, or from home.

• 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)
• 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 containerisation 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.

• Programming Languages - Java, Python, SQL. ·
• Cloud environments - AWS/GCP/Azure
• Orchestration and Containerisation - Airflow, Docker
• Databases - PostgreSQL, MongoDB, Hive
• Big Data Frameworks - Hadoop, Spark, Kafka

• You're open, proactive, responding to changes quickly and with agility while learning in the process
• You maximise benefit as simply as possible but as complexly as needed
• You recognise and seize opportunities confidently and take an entrepreneurial approach
• You focus on the customer and guide them from the concept phase through to market success
• You're able to persuade people through clear communication, negotiation skills, empathy and an ability to see things from others' perspective
• You establish long-term, partnership-oriented relationships and develop and maintain them
• You think and act in the interests of the organisation as a whole and utilise synergies
• You take personal initiative in confronting obstacles and failures, have an optimistic overall attitude and take measures to ensure performance in the long term