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Data Engineer

Remote:

Full Remote

Contract:

Full time

Salary:

10 - 10K yearly

Experience:

Mid-level (2-5 years)

Work from:

Netherlands

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or related field., At least 3 years of experience in data engineering., Strong knowledge of Python and PySpark., Experience with Azure cloud technologies..

Key responsabilities:

Build and maintain scalable data ingestion processes.
Develop ETL pipelines for data transformation.

stichd SME https://www.stichd.com/

501 - 1000 Employees

See more stichd offers

Job description

The Job

The Data & Analytics team is at the core of our mission to become a data-driven organization. By delivering scalable solutions and fostering collaboration, we ensure that data flows seamlessly across the company, empowering teams to make informed decisions. With an ever-growing volume of data and increasing complexity, having the right infrastructure is critical. That’s where the Data Engineer comes in—a pivotal role in building and maintaining the foundation of our data ecosystem.

To Support Our Goals:
State-of-the-art architecture: We design scalable and innovative solutions to ensure sustainable growth.
Dynamic approach: With nothing set in stone, we embrace flexibility and adaptability to meet evolving business needs.
Holistic business scope: We maintain a comprehensive view of the organization, avoiding siloed operations to ensure alignment across teams.

As our Data Engineer, you play a crucial role in ensuring that data from various sources is ingested, processed, and structured efficiently. Your work lays the groundwork for Analytics Engineers, Analytics Consultants, and Data Analysts to extract meaningful insights and drive business decisions. By designing robust pipelines and managing high-quality data products, you enable the entire organization to operate with confidence in the accuracy and accessibility of its data.

Your Mission

Data Ingestion: Build and maintain scalable processes for ingesting large volumes of data from diverse sources. Minimize manual coding by using metadata-driven approaches to enhance efficiency.
Data Processing: Develop and implement ETL (Extract, Transform, Load) pipelines to transform raw data into clean, enriched, and structured formats, ready for analysis or integration into other systems.
Metadata Management: Capture and manage metadata effectively, ensuring clarity on data lineage, quality, and context for all stakeholders.
Collaboration: Partner closely with Analytics Engineers and Integration team to deliver clean and structured data that supports both analytics and data integration use cases.
Optimization: Monitor and optimize the performance and reliability of data pipelines, ensuring that data is available promptly and without disruptions.

Your Talent

Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
Experience: At least 3 years of relevant experience in data engineering, analytics, or a related role.
Stakeholder Management: Excellent skills in stakeholder management, with the ability to communicate technical concepts to non-technical stakeholders.
Cloud Expertise: Experience in creating robust and stable data solutions, pipelines, and data products within a major cloud provider (preferably Azure).
Technical Skills: Solid experience with data engineering technologies, such as: - Databricks - Azure Synapse Analytics / Azure Data Factory - Infrastructure as Code (BICEP, Terraform)
Programming Languages: Strong knowledge of data engineering languages, particularly Python, with a focus on PySpark for big data processing.
We're looking for someone who shares our passion for making sense of data and can help us succeed as a data-driven company

This role is based in 's-Hertogenbosch, the Netherlands. Working remotely from other countries is not possible. To be considered for this position, you must be legally authorized to work in the Netherlands without the need for a work permit.

We Offer

Our salaries are based on 38 hours per week, but fulltime work is 40 hours per week. Instead, you choose between a lot of holidays; 40 per year ór choose for a 40-hour salary per month with still 28 holidays. You can switch every six months;
Annual bonus scheme;
New hires (introduction) days with all new colleagues from all our global offices;
Great offer of e-learnings and a training offer for personal development;
Enough free fruit for you daily vitamins;
Provided lunch for low cost;
Choose between lease-bike, NS Business Card or travel by car for € 0,23 per km (>10km).
8% holiday allowance, employee insurances and a good pension scheme;
Employee discount on the PUMA, Levi’s, Fuelforfans and BMW Lifestyle websites;
Hybrid working. On fulltime basis 3 days in the office and 2 days at home (incl. allowance for home working);
Flexible working hours, modern workspace and a good working atmosphere;
International working environment with colleagues of more than 50 different nationalities;
Wellbeing activities (f.e. yoga and bootcamp);
Community involvement (stichd impact tool);
stichd drinks 5/6x per year in the city center of Den Bosch;
Work hard, play hard. Our stichd-events are legendary.