DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

This role is part of our Experience & Engineering team based in the Netherlands. We combine our skills in developing future-ready technical solutions with our expertise in creating beautiful designs to deliver exceptional and engaging digital experiences that build lasting relationships with our clients like Gant, Inter Milan, bol.com and Just Eat Takeaway.

JOB PURPOSE

Looking to kick off your engineering career as a data engineer?

During this internship, you’ll join our talent program designed to shape you into a productive data engineer, capable of working in a multidisciplinary team. We’ll share all the knowledge we have and provide you with the attention, feedback, challenges and support you need to grow into a standout professional.

In short, our goal is to help you reach your full potential.

A data engineer is the engineer who makes data useful. One moment you’re building pipelines that move and transform data from multiple systems, the next you’re modeling datasets that enable analytics, automation and smarter decision making.

You’ll help create the foundations that power digital products, customer insights and AI-driven solutions.

From day one, you’ll be paired with a dedicated mentor for 1-on-1 coaching and join a team of passionate engineers always ready to help. You’ll work on real client projects, gaining hands-on experience with modern data platforms and solving real business problems.

By the end of your internship, you’ll have built practical experience in modern data engineering and contributed to projects for A-list clients.

Take it from us, your resume will be more than ready for a future in the digital industry.

Please note: to be eligible for this internship, you are required to be living and studying in the Netherlands.

KEY RESPONSIBILITIES

• Dive into exciting projects for clients like BOLIA, Tikkie, Foot Locker, BOLIA and bol.com
• Work alongside experienced data engineers and analytics engineers on real projects, learning and contributing from day one
• Build and improve data pipelines using technologies such as Python, SQL, Airflow and dbt
• Work with modern cloud data platforms such as BigQuery, Snowflake or Databricks
• Ingest and transform data from APIs, databases, SaaS platforms and event streams
• Help model clean, reliable datasets for analytics, reporting and activation use cases
• Contribute to data quality, testing, observability and automation practices
• Collaborate with developers, analysts and strategists to turn data into business value
• Explore how AI and automation can improve data products and engineering workflows.

WHAT WE ARE LOOKING FOR

• Even if you don’t tick every box, that doesn’t mean we’re not a match. If you feel like this role could be right for you, just go for it and apply.
• You are passionate about data, technology and solving problems
• You have a proactive attitude, are naturally curious, and stay aware of trends in data and AI
• You have experience through studies, projects or side projects with programming or data work
• You have a GitHub, portfolio or project work you can share with your application
• You have an interest in topics like data modeling, cloud, analytics or automation
• You might already have experience with Python, SQL or working with data

Hard Requirements

• You are currently enrolled in a Dutch university for the entire duration of the internship
• Availability of 4 days per week, preferably 5, from September 2026 for a duration of 5 months
• You speak technical English fluently - whether writing, presenting or collaborating with the team

NICE TO HAVE

Experience or interest in some of these is a plus:

• Python or SQL
• dbt, Airflow or other orchestration tools
• Cloud platforms like GCP, AWS or Azure
• APIs and data integration
• Git and software engineering fundamentals
• Dashboards or BI tooling (Looker, Power BI, Tableau)
• Basic knowledge of machine learning or AI workflows

WE OFFER

• DEPT® has been named a Great Place To Work in 2023 - in the Netherlands and has been a Certified B Corp® since 2021 -award winning in the best way possible.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• A monthly allowance of 450 euros + 50 euro internet allowance.
• Opportunities to develop your skills even further through training and certifications.
• Everything to focus on your health: mindfulness sessions, mental health services, healthy lunches available at the office, and above all: a safe work environment.
• Great fringe benefits; use of OV-bikes, an NS Business Card and many other goodies.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Description

As a Data Engineer at Monks, you'll have the opportunity to grow and contribute to exciting projects by helping to design, build, and maintain data pipelines and cloud infrastructure. The data engineer should have a strong foundational understanding of cloud environment, data pipelines, data cleansing, and basic data warehousing. Ideally, you possess a foundational understanding of machine learning concepts, allowing you to bridge the gap between engineering and advanced marketing analytics applications. This role is an excellent opportunity for those looking to build a career in data engineering and data science.

This Netherlands-based role requires supporting the Data Strategy team with a major Netherlands client. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what’s possible, we encourage you to apply!

Responsibilities

• Develop data pipelines and solutions across cloud platforms such as AWS and GCP.
• Support the authentication and integration of platform APIs and help automate an end to end ETL processes for data integration and transformation.
• Participate and collaborate in the design and implementation of data models and data warehouses. 
• Develop data transformation recipes that efficiently transform raw data into structured formats suitable for data warehousing.
• Support and maintain with the documentation for data models, including architecture diagrams, schema, definitions, and metadata.
• Monitor and troubleshoot data pipelines’ issues to ensure timely data availability.
• Collaborate with the data science team to integrate and build ML models and Gen-AI applications.
• Possess good data literacy and understand how technical data applications create business value.
• Communicate progress and findings to both technical and non-technical team members.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment

Requirements

• Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 1+ years of working experience in data science or data engineering or a related field.
• Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, Machine Learning Engineer or any equivalent.  
• Proficiency in Python and SQL. 
• Expertise in authenticating and authorising API requests using methods such as OAuth and API keys and troubleshooting common API-related challenges.
• Solid understanding of data structures and databases.
• Good understanding of data modeling concepts and tools such as dbt or Dataform.
• Solid understanding of data warehousing and ETL concepts and experience with tools like Amazon Redshift or Google BigQuery.
• Familiarity with data privacy principles and best practices.
• Fluent English communication and written skills.

 Preferred Requirements:

• Bachelor or Masters Degree in Data Science. 
• Professional Cloud Certification.
• Experience with CI/CD and version control tools.
• Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
• Familiarity with social data  (e.g. Instragram, Facebook, Tiktok).
• Experience with machine learning and Gen-AI models.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

#LI-FP1

About the role:

As a fast-growing business, data is the connective tissue of everything we do - from understanding how customers discover us to deciding on which new features should be rolled out. We're looking for a Data Analyst who doesn't just build dashboards, but who asks the harder questions: why are users doing this, and what should we do about it?

You'll sit at the intersection of engineering and commercial decision-making - trusted by leadership to deliver reliable data and clear narratives, and trusted by the team to keep the pipelines humming. This is an early stage opportunity for an analyst who wants to build. If that sounds like the perfect mix for you, we’d love to chat!

What you will do: 

• Drive business performance, through proactive data analysis, sharp reporting, and actionable insights that land with leadership
• Own and evolve our data pipelines, ensuring data is fresh, accurate, and trustworthy when it matters
• Build and maintain dbt models, that serve recurring business needs across Growth, Finance, and Product
• Be the storyteller in the room, presenting findings and translating complexity into clear narratives that move decisions forward
• Keep a close eye on pipeline health, troubleshoot issues proactively, and champion continuous improvement in data quality

What you will need: 

• You communicate data clearly to non-technical stakeholders - including C-level
• Strong SQL skills and working knowledge of dbt (models, tests, documentation)
• Comfortable writing Python scripts for data transformation or pipeline tooling
• Strong intuition around subscription lifecycle & paid acquisition metrics - you've lived in this space before
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• An ownership mindset - you communicate proactively, take end-to-end responsibility, and thrive in a small, collaborative team

Nice to have: 

• Experience managing ingestion pipelines or working with orchestration tools like Airflow
• Familiarity with data quality or observability tools
• Experience using AI tools to accelerate data work - LLMs for SQL generation, documentation, anomaly detection, or pipeline debugging

We would also like to offer you:

• Lunch: On days you work in the office a warm fresh lunch will be provided for you.
• Up to 15 days Work From Anywhere Benefit.
• 24 days of paid vacation per year + public holidays.
• Travel Allowance, if you live more than 10 KM from the office (in the form of an NS card)
• Company pension plan.
• Company events and overseas trips!

(Please note that for this role you must already be living in the Netherlands)

About the Role

We are building Optiver’s next-generation Enterprise Data Platform on the Databricks Lakehouse. As an Enterprise Data Engineer, you’ll design the curated data models, pipelines, and metrics that make data a trusted asset across Finance, People, and Business Operations.

This is a hands-on role at the center of our data transformation: you’ll shape how business stakeholders access and trust data, working on one of the most modern stacks in the industry

WHAT YOU’LL DO

• Build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks.

• Design curated models and semantic layers to standardize KPIs across Finance, People, and Ops.

• Partner directly with business teams to turn complex requirements into clear, reusable data products.

• Implement governance and quality checks (lineage, testing, role-based access) so data is reliable and secure.

• Deliver data products that power BI tools and self-service analytics.

• Contribute to platform best practices (CI/CD, naming conventions, testing frameworks).

WHO YOU ARE

• Experience in Data Engineering or Analytics Engineering, ideally with exposure to Finance, People, or Business Ops data.

• Advanced SQL and dbt skills, with experience modeling for analytics (dimensional, medallion, vault).

• Hands-on experience with Databricks or equivalent Lakehouse platforms.

• Understanding of data governance and quality frameworks.

• Strong communication skills and the ability to work directly with business stakeholders.

WHO WE ARE

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

WHAT YOU’LL GET

At Optiver, data is central to everything we do. You’ll join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Here, you will:

• Work with a modern Lakehouse + dbt stack, setting the standards others will follow.

• See your models and pipelines directly shape decision-making across the firm.

• Grow alongside experienced data leaders in a culture of excellence, innovation, and continuous improvement.

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.

• The opportunity to work alongside best-in-class professionals from over 50 different countries.

• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.

• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.

• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.

• Training and continuous learning opportunities, including access to conferences and tech events.

• Competitive relocation packages and visa sponsorship where necessary for expats.

HOW TO APPLY

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role

• We cannot accept applications via email’

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion.

RDQ426R402

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability.

This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams.

The impact you’ll have:

• Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.
• Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.
• Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.
• Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.
• Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.

What we look for:

• 5+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)
• Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
• Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
  
  

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• 5+ years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• Proven years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.