Data Engineer – Contract

AND Digital

Data Engineer assisting clients with data engineering needs and delivering solutions in an Agile environment. Aiding team practices and mentoring junior-level technologists.

Posted 5/18/2026contractAmsterdam • 🇳🇱 NetherlandsMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureCloudETLGoogle Cloud PlatformInformaticaJenkinsKafkaPostgresPySparkPythonSparkSQLTerraformVault

About the role

Key responsibilities & impact

As a Data Engineer, you will spend your time helping clients achieve their data engineering needs.
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.
Stack Migration: Migrating the existing data processing stack (PostgreSQL/Jenkins/Python) to a modern cloud-based stack (AWS/Airflow/Redshift/Python/PySpark/Spark), ensuring continuity and data integrity throughout the transition.
Design and Build Scalable ETL Pipelines: Build and optimise ETL/ELT data pipelines, focusing on performance, scalability, and data integrity.
Maintain and Develop Data Pipelines: Support and maintain existing pipelines while building new ones to meet evolving business needs and stakeholder requirements.
Streaming & Integration: Develop and maintain both batch and real-time data processing pipelines from multiple data sources.
Support DevOps Practices: Contribute to CI/CD processes for testing, building, and deploying data pipelines.
Performance Optimisation: Tune pipeline performance for both batch and real-time data processing.
Collaboration and Mentorship: Partner with internal teams and engineers to ensure seamless data integration.

Requirements

What you’ll need

Complete fluency in Dutch is required for this role in order to communicate with our Dutch Stakeholders.
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 governance
Experience with data warehousing concepts and delivering analytical insights to internal stakeholders
Deep expertise in at least one major cloud platform (AWS, Azure, or GCP)
Experience with Apache Airflow for workflow orchestration and pipeline scheduling
Hands-on experience with AWS services, particularly Glue and Redshift
Experience with Apache Kafka or similar streaming technologies
Experience with Delta Lake/Delta Table, Lakehouse or Medallion Architecture (Bronze/Silver/Gold)
Deep expertise in modern data platforms such as Databricks or Snowflake
Experience with data migration, including familiarity with tools such as AWS DMS
Consulting or client-facing experience, translating business requirements into data solutions
Familiarity with Data Vault 2.0 and Star Schema design
Infrastructure as Code experience (Terraform or AWS CloudFormation)
Familiarity with enterprise tooling such as Informatica (ETL, Data Governance, Data Quality) or Data Mesh enablers
Dataiku experience.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account AND Digital Website LinkedIn All Job Openings 1001 - 5000 employees ☁️ SaaS Consulting
SaaS
Software Engineering AND Digital is a technology consulting firm that partners with organizations of all sizes to transform their digital capabilities and close the digital skills gap. By employing a unique "Guide, Build, Equip" model, AND Digital helps clients accelerate digital delivery through consulting, software engineering, mobile app development, experience design, and data solutions. The company focuses on creating better digital products and enhancing the technological capabilities of its clients. Its services extend across multiple regions, including the UK, Europe, and the USA, working closely with clients to solve complex challenges and implement innovative solutions. Known for its club model, AND Digital fosters intimate client partnerships with the advantages of a large firm's resources. Data Engineer – Contract 🔥 15 minutes ago 🏢🏡 Amsterdam – Hybrid ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🗣️🇳🇱 Dutch Required Airflow Amazon Redshift Apache AWS Azure Cloud ETL Google Cloud Platform Informatica Jenkins Kafka Postgres PySpark Python Spark SQL Terraform Vault Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
As a Data Engineer, you will spend your time helping clients achieve their data engineering needs.
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.
Stack Migration: Migrating the existing data processing stack (PostgreSQL/Jenkins/Python) to a modern cloud-based stack (AWS/Airflow/Redshift/Python/PySpark/Spark), ensuring continuity and data integrity throughout the transition.
Design and Build Scalable ETL Pipelines: Build and optimise ETL/ELT data pipelines, focusing on performance, scalability, and data integrity.
Maintain and Develop Data Pipelines: Support and maintain existing pipelines while building new ones to meet evolving business needs and stakeholder requirements.
Streaming & Integration: Develop and maintain both batch and real-time data processing pipelines from multiple data sources.
Support DevOps Practices: Contribute to CI/CD processes for testing, building, and deploying data pipelines.
Performance Optimisation: Tune pipeline performance for both batch and real-time data processing.
Collaboration and Mentorship: Partner with internal teams and engineers to ensure seamless data integration. 🎯 Requirements
Complete fluency in Dutch is required for this role in order to communicate with our Dutch Stakeholders.
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 governance
Experience with data warehousing concepts and delivering analytical insights to internal stakeholders
Deep expertise in at least one major cloud platform (AWS, Azure, or GCP)
Experience with Apache Airflow for workflow orchestration and pipeline scheduling
Hands-on experience with AWS services, particularly Glue and Redshift
Experience with Apache Kafka or similar streaming technologies
Experience with Delta Lake/Delta Table, Lakehouse or Medallion Architecture (Bronze/Silver/Gold)
Deep expertise in modern data platforms such as Databricks or Snowflake
Experience with data migration, including familiarity with tools such as AWS DMS
Consulting or client-facing experience, translating business requirements into data solutions
Familiarity with Data Vault 2.0 and Star Schema design
Infrastructure as Code experience (Terraform or AWS CloudFormation)
Familiarity with enterprise tooling such as Informatica (ETL, Data Governance, Data Quality) or Data Mesh enablers
Dataiku experience. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Data Engineer 🕒 February 2 Technopride 1 - 10 🤝 B2B 🤖 Artificial Intelligence 🏢 Enterprise Website LinkedIn All Job Openings Senior Data Engineer responsible for designing and building scalable data platforms. Collaborating with teams to ensure data quality, security, and support for analytics and machine learning. 🏢🏡 Amsterdam – Hybrid ⏳ Contract/Temporary 🟠 Senior 🚰 Data Engineer AWS Java Kafka Spark View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonPySparkSparkSQLETLELTdata modellingdata governancedata warehousingdata migration

Soft Skills

collaborationmentorshipcommunication