Data Engineer
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Monthly Salary:
Posted on:
8 days ago
Vacancies:
1 Vacancy
Job Summary
What will you do
TÜV Austria Belgium is looking for a highly qualified and motivated Senior Data Engineer to strengthen our this role you design and implement robust data pipelines ensure data quality and data governance and support advanced analytics and AI solutions through scalable data architectures.
Are you passionate about building reliable data ecosystems and leveraging modern cloud technologies Then we look forward to receiving your application.
Key Responsibilities
Data Architecture & Pipelines: Design develop and maintain scalable data pipelines and ETL processes for ingesting transforming and delivering structured and unstructured data.
Data Governance & Data Quality: Implement governance frameworks data catalogs and qualitymonitoring processes to ensure compliance integrity and security across all data assets.
Data Integration & Storage: Manage data lakes data warehouses and streaming platforms; optimize storage solutions for performance and cost efficiency.
AI & Analytics Enablement: Prepare enrich and curate datasets for machinelearning and advancedanalytics projects ensuring data scientists and AI engineers have seamless access to highquality data.
Performance Optimization: Monitor and optimize data workflows for speed scalability and resilience across both cloud environments and onpremise infrastructure.
Collaboration: Work closely with data scientists software engineers project managers and other stakeholders to deliver endtoend data solutions.
Continuous Improvement: Stay up to date with new technologies in data engineering big data and cloud platforms and promote best practices within the team.
Client Interaction: Support clients in defining their data needs present technical solutions and advise on datadriven strategies.
What do we offer you
A role in which you actively contribute to the further development and growth of the Digital division within TÜV Austria with impact on challenging data analytics and AI projects across various sectors.
A supportive and collaborative work environment with an open and respectful company culture where colleagues support each other and knowledge sharing is central.
An organization that consciously reinvests its profits in employees technology and services ensuring that you work in an environment that continually innovates and moves forward.
Extensive opportunities for professional growth through training in data engineering cloud platforms bigdata technologies data modeling and AI enablement.
A competitive salary supplemented with a comprehensive package of additional benefits including:
Meal vouchers of 8 euros per working day and eco vouchers of 250 euros per year
Hospitalization insurance (including outpatient and dental care) group insurance and the option to add family members
Year-end bonus
Mobile subscription and Bring Your Own Device allowance
Laptop
Company car with charging card or mobility budget
Flexible Income Plan with options such as extra leave days purchase of telecom devices bicycle leasing
Seniority leave starting from 2 years
Flexible working hours telework options and attention to a healthy worklife balance
Who are you
Education: Bachelors or Masters degree in Computer Science Data Engineering Information Systems or related field.
Experience: 35 years in data engineering big data or data platform development.
Fluency in both written and spoken Dutch and English is required.
Technical Skills:
Strong proficiency in Python and SQL; experience with distributed systems (Spark Databricks).
Cloud Platforms:
Microsoft Azure: Azure Data Factory Azure Data Lake Storage Microsoft FabricAzure Cosmos DB.
Other Clouds: AWS (Glue RDS Athena Redshift S3) GCP (BigQuery Dataflow).
Data Orchestration & Workflow: Airflow Prefect Dagster ADF
Data transformation: dbt
Data Warehousing & Modeling: Snowflake DuckDB BigQuery.
Streaming & Real-Time Processing: Kafka Azure Event Hub.
Visualization & BI: Power BI Tableau.
Familiarity with CI/CD pipelines (Azure DevOps GitHub Actions) and containerization (Docker Kubernetes).
Infrastructure as Code: Terraform
Analytical Thinking: Ability to design efficient data workflows and troubleshoot complex data issues.
Communication: Clear and concise communication skills for technical and non-technical stakeholders.
Ethical Standards: Commitment to data privacy security and compliance with relevant regulations.
Bonus: Experience with MLOps and DataOps.
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Required Experience:
IC
Key Skills
About Company
At TÜV Austria Belgium, we are a leading provider of Testing, Inspection, and Certification (TIC) services and solutions. As part of the rapidly growing TUV Austria Group, founded in Vienna in 1872, we operate globally with over 3,400 employees in 34 countries. Our commitment to profe ... View more
