Data Engineer

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Data Engineering





Opinov8 is a technology service provider, with an Opinion in Innovation, we engage with our clients at any stage in their product engineering and innovation goals, with solutions being mainly collaborative and outcome-driven. We are driven by delivering value, for our clients, through technological innovation.
We are a young energetic and dynamically agile company and the team behind Opinov8 are software industry veterans. We are ambitious on our own and on our client’s behalf and we do not look at a client engagement as a project, we are in it to help our clients build sustainable products, platforms, and businesses.
Our core values and what we look for in our Opinov8rs:
You are Collaborative - which is a key component to being successful in distributed environments.
You are Innovative - it is a requirement that we innovate, as individuals and as a company.
Be Adventurous - courageous people are adventurous, we are hiring and nurturing this quality.
Always Respectful - remember if you don’t respect others they will not respect you.
Inherently Intelligent - it goes without saying we are all intelligent in our own way.
Ultimately Responsible - being responsible is a core personality trait that is needed for us and our clients’ success and ultimately a happy work environment.
We are working with a renowned insights company and focuses on supporting their clients with their data journey. They provide customers with SAAS solution for data science as a service as well as tailored research projects. The client is passionate about enabling customers (such as NS, De Volksbank, Greenchoice and ACHMEA) to use data driven insights to improve their customer experience. Using cutting-edge techniques to analyze different types of (big) data with own developed methods, software and state-of-the-art tooling.
As a Data Engineer within the client's team, you are responsible for advising on and developing and managing everything concerning data.
You design and implement data pipelines for collecting, transforming and loading structured and unstructured data.
Your work will contribute in making raw data useful for the company as well as for its clients.
Continuously staying up-to-date with the market and academic information, documenting your work and contributing to the platform's modules and processes is part of your job.
A Data Engineer is part of the Data Science team and will work closely together with customer- and internal project teams.
- Automate data pipelines and develop custom data solutions using tools or languages like KNIME, Azure solutions (such as Azure Data Factory and Data Bricks), Python and SQL;
- Exploring data requirements with clients and internal stakeholders and translating it to (standardized) data models;
- Designing, building, troubleshooting, and monitoring complex data pipelines;
- Create reliable and scalable data collection processes;
- Share learnings and best practices within the organization.
Knowledge and experience:
- A bachelor or master’s degree in Computer Science, Data Science, Information Technology or a related technical discipline, or equivalent experience;
- Experience in building automated data pipelines and setting up and maintaining data models for analysis purposes;
- Extensive knowledge of and experience with KNIME, Python and SQL in the context of ETL processes;
- At least 5 years of relevant experience;
- Experience with Agile, Scrum, DevOps is a plus;
- You enjoy working in multidisciplinary project teams.


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