Description
Data Engineering & Data Science Consultant
You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.
Responsibilities
- Apply data science and machine learning techniques to real-world business problems
- Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
- Develop and optimise data transformations for analytical and machine learning workloads
- Support the productionisation of data and ML solutions, including monitoring and optimisation
Requirements
- 3–5 years of experience in data engineering, data science, or analytics
- Hands-on experience delivering data and analytics solutions in project-based or client environments
- Strong problem-solving skills and a pragmatic, delivery-oriented mindset
Data Engineering Foundations
- Experience building end-to-end data pipelines (ingestion, transformation, storage)
- Solid understanding of data modelling, data transformations, and feature engineering
- Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP
Applied Data Science & Analytics
- Experience applying statistical analysis and machine learning techniques
- Strong programming skills in Python
- Very good SQL skills and experience working with relational databases
Nice to have
- Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
- Exposure to GenAI, NLP, time series, or advanced analytics use cases
- Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)
Language & Mobility
- Very good English skills
- Willingness to travel for project-related work
Benefits
Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.