Data Analytics Engineer

About this vacancy

• Build and Own Infrastructure: Develop and maintain robust, reliable data pipelines to centralize analytics data.
• Workstream Ownership: Collaborate with cross-functional teams and stakeholders to define and deliver analytics solutions.
• Data-Driven Decision Making: Proactively contribute to and support data-driven decision-making processes.
• Semantic Layer Creation: Design user-friendly semantic layers for ad hoc analysis, routine reporting, and/or data science modeling to enable easy data analysis for end users. Ensure friendly naming conventions, well-defined metrics, and optimized performance.
• Data Quality Assurance: Implement best-in-class alerting and data quality checks to proactively identify data integrity errors.
• Software Engineering Practices: Apply best practices to analytics code, including version control and testing.
• Documentation: Document new datasets and pipelines, explaining their structure and purpose.
• Team Culture Contribution: Collaborate, share knowledge, and upskill teammates to contribute to a positive team culture.

What we expect from you

• Experience: 4+ years as an Analyst/Data Engineer.
• Technical Skills: 3+ years with AWS, Python, and ETL development; 2+ years with Big Data Technologies such as Databricks and Spark; 1+ year with data engineering technologies such as Airflow, Redshift, Spark, and Kubernetes.
• Data Analysis: Advanced expertise in Data Analysis, Tableau, and SQL.
• Communication: Exceptional written and oral communication skills with the ability to influence multiple levels of the organization.
• Industry Experience: Previous experience in the manufacturing industry and their IT systems.
• Statistics: Proficient in statistics and exploratory data analysis.
• Adaptability: Willingness to roll up your sleeves to get the job done and to commit to a fast-paced startup working culture.
• Audience Adaptability: Ability to tailor communication for a wide variety of audiences, both technical and non-technical.

Preferred Qualifications and Skills:

• dbt Experience: Hands-on experience with dbt.
• Forecasting and Predictive Analytics: Experience with time series forecasting, predictive analytics, and machine learning.
• NLP and AI Frameworks: Familiarity with frameworks such as NLTK, Spacy, TensorFlow, or PyTorch.
• DevOps and DataOps: Functional knowledge in these areas.
• Problem-Solving: Ability to work through uninformative assumptions and biases in datasets without being stalled by imperfect or sparse data.

What you can expect from us

TMC is an international high-tech consultancy company that brings expertise to their clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster changing technological world.At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career.As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.