AND Digital
Information Technology and Services
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at AND Digital. Skills: Python, PySpark, SQL, Cloud platforms. Develop data products. Deploy data products”
What You'll Achieve.
Achieve data engineering needs; Ensure continuity and data integrity; Meet evolving business needs; Meet stakeholder requirements; Ensure seamless data integration; Foster best practices
Industry & Context.
Technical decision making; Troubleshoot complex issues; Debug complex issues
Complete fluency in Dutch
What They're Looking For.
Must Have
Complete fluency in Dutch, Expertise in Python, Expertise in PySpark/Spark, Knowledge of SQL, Understanding of data modelling, Understanding of ETL/ELT processes, Understanding of data governance, Experience with data warehousing concepts, Deep expertise in at least one major cloud platform (AWS, Azure, or GCP), Experience with Apache Airflow, Hands-on experience with AWS services (Glue, Redshift)
Nice to Have
Experience with Apache Kafka, Experience with Delta Lake/Delta Table, Experience with Lakehouse, Experience with Medallion Architecture (Bronze/Silver/Gold), Deep expertise in Databricks, Deep expertise in Snowflake, Experience with data migration, Familiarity with AWS DMS, Consulting experience, Client-facing experience, Familiarity with Data Vault 2.0, Familiarity with Star Schema design, Infrastructure as Code experience (Terraform or AWS CloudFormation), Familiarity with Informatica, Familiarity with Data Mesh enablers, Dataiku experience
What You'll Do.
Develop data products
Maintain data products
Take active role in Agile practices
Improve quality and reliability
Support junior-mid level engineers
Migrate data processing stack
Design scalable ETL pipelines
Build ETL/ELT data pipelines
Optimise ETL/ELT data pipelines
Maintain existing pipelines
Develop batch data processing pipelines
Develop real-time data processing pipelines
Contribute to CI/CD processes
Tune pipeline performance
Troubleshoot complex issues
How You'll Work.
Team & Collaboration
Work with product team; Partner with internal teams; Collaborate with engineers; Provide technical leadership; Mentorship to junior engineers
Communication Scope
Communicate with Dutch Stakeholders
Full Job Description
**Role: Data Engineer (6 month initial contract)** **Complete fluency in Dutch is required for this role in order to communicate with our Dutch Stakeholders.** **AND Introduction:** At AND, we accelerate the development of digital capabilities. In practice, that means helping ambitious leaders and organisations build the teams, products, processes and even operational structures they need to close the digital skills gap within their organisation today, so that they thrive tomorrow. Clients rely on our experience, agility and craft skills across tech and business strategy, software development, data engineering and agentic AI to address some of the toughest challenges facing their businesses. We bring aboard thinkers, tinkerers, passionate craftspeople and inspiring technologists to help us solve these challenges. Together, we’re united by a sense of pragmatism, purpose and a deeply-held belief that digital products and technology alone won’t transform a business or save the world: it’s the people that count. **About You:** As a Data Engineer, you will spend your time helping clients achieve their data engineering needs. Primarily the development, deployment and maintenance of data products in a fast moving, Agile environment. You’ll also make a real impact by taking an active role in the team’s Agile Development practices, technical decision making and development, generating value and continuously striving to improve the quality and reliability of our data and processes. You will spend the majority of your time helping deliver client data engineering opportunities and supporting the growth of our junior-mid level technologists; both within AND and for our clients. **Key Skills:** **Expertise** **Required** * Strong expertise in Python and PySpark/Spark for building scalable data pipelines * Strong knowledge of SQL for querying structured data and interacting with databases, including PostgreSQL * Strong understanding of data modelling, ETL/ELT processes and data go
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