data infrastructure engineer

Optics11

<div>
 We are expanding our team with a
 
 Data &amp; ML Infrastructure Engineer
 
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 
 
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 
 
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
 </li>
 <li>
 Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
 </li>
 <li>
 Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
 </li>
 <li>
 Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
 </li>
 <li>
 Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
 </li>
 <li>
 Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
 </li>
 <li>
 Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
 </li>
 <li>
 Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
 </li>
 <li>
 Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
 </li>
 <li>
 Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
 </li>
 <li>
 Manage resource and cost controls, including budgets, approvals, and tracking.
 </li>
 <li>
 Contribute to documentation, operational runbooks, and onboarding materials for the platform.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Join one of Europe&rsquo;s most promising deep-tech scale-ups.
 </li>
 <li>
 Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Enjoy regular team activities and company events.
 </li>
 <li>
 Fresh team lunches provided3 times/ week.
 
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
 </li>
 <li>
 Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
 </li>
 <li>
 Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
 </li>
 <li>
 Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
 </li>
 <li>
 Experience with AWS Sagemaker or Google Vertex AI platforms.
 </li>
 <li>
 Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
 </li>
 <li>
 Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
 </li>
 <li>
 Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
 </li>
 <li>
 Experience with CI/CD systems (e.g., GitLab CI).
 </li>
 <li>
 Programming skills in Python.
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of DevOps and MLOps practices.
 </li>
 <li>
 Ability to work across teams and translate requirements into scalable infrastructure solutions.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Knowledge of data governance, IAM, and security frameworks.
 </li>
 <li>
 Experience with cost optimization and resource management in cloud environments.
 </li>
 <li>
 Familiarity with multi-tenant or multi-product platform architectures.
 </li>
 <li>
 Experience working with EU data compliance constraints in energy, maritime or defense.
 
 
 
 </li>
 </ul>
 
 Security &amp; Compliance:
 
 
 
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>

Data & ML Infrastructure Engineer

<div>We are expanding our team with a Data &amp; ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.</li><li>
Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.</li><li>
Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.</li><li>
Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.</li><li>
Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.</li><li>
Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.</li><li>
Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.</li><li>
Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.</li><li>
Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.</li><li>
Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.</li><li>
Manage resource and cost controls, including budgets, approvals, and tracking.</li><li>
Contribute to documentation, operational runbooks, and onboarding materials for the platform.</li></ul><h4 class="jobSectionHeader">
Why Join Us?</h4><ul><li>
Join one of Europe&rsquo;s most promising deep-tech scale-ups.</li><li>
Shape the future of a rapidly growing multidisciplinary R&amp;D organization.</li><li>
Competitive salary and benefits package.</li><li>
Enjoy regular team activities and company events.</li><li>
Fresh team lunches provided3 times/ week.</li></ul><h4 class="jobSectionHeader"> 
Required Qualifications:</h4><ul><li>
MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.</li><li>
Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).</li><li>
Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.</li><li>
Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).</li><li>
Experience with AWS Sagemaker or Google Vertex AI platforms.</li><li>
Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).</li><li>
Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).</li><li>
Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).</li><li>
Experience with CI/CD systems (e.g., GitLab CI).</li><li>
Programming skills in Python.</li><li>
Experience with monitoring and observability tools (Prometheus, Grafana).</li><li>
Understanding of DevOps and MLOps practices.</li><li>
Ability to work across teams and translate requirements into scalable infrastructure solutions.</li></ul>
Nice to Have:<ul><li>
Knowledge of data governance, IAM, and security frameworks.</li><li>
Experience with cost optimization and resource management in cloud environments.</li><li>
Familiarity with multi-tenant or multi-product platform architectures.</li><li>
Experience working with EU data compliance constraints in energy, maritime or defense.</li></ul>
Security &amp; Compliance:
You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.</div>

New Black

<div>
 
 
 Welcome to New Black - we are looking for a Data Engineer ready for a mission!
 
 
 
 
 
 
 As our
 
 Data Engineer,
 
 you will be responsible for designing and maintaining the data backbone of our platform - ensuring scalable, secure, and efficient data flows that power decisions, insights, and innovation across New Black.
 
 
 
 
 
 
 
 About New Black
 
 
 
 
 We are just a bunch of NERDS, transforming the world of (e)commerce with our truly unique Contextual Commerce platform, called EVA. Our purpose is to help globally operating brands and retailers to become adaptive to change.
 
 
 EVA is the engine that powers digital retail solutions, a secure, cloud-based platform that is set up to improve the consumer experience. We facilitate flexible infrastructure, enable digital transformation, and help our customers deliver a true unified experience and functionality to their customers faster and smarter. We work for leading brands and retailers such as Rituals, Kiko Milan, Dyson, G-Star, and many more.
 
 
 
 
 
 
 
 Our Philosophy
 
 
 
 
 New Black, is a company like no other. That is a promise.
 
 
 
 
 <ul>
 <li>
 NEW BLACK believes work is more than compensation; we embrace
 
 holacracy
 
 to foster collaboration, aligning as a team without rigid reporting lines for agility and responsiveness.
 </li>
 <li>
 NEW BLACK is dedicated to hard work and continuous improvement, viewing success as a shared responsibility and striving for excellence.
 </li>
 <li>
 NEW BLACK is more than a software company; we are a next-generation platform transforming (e)commerce, filled with passionate people who love what we do.
 </li>
 <li>
 NEW BLACK is ambitious; we are profitable and fully bootstrapped (no investors, no debts), granting us the freedom to shape our company as we see fit.
 </li>
 <li>
 NEW BLACK wholly owns its intellectual property, enabling us to make independent decisions about our products and innovate with the latest technology.
 </li>
 <li>
 NEW BLACK has formed strategic partnerships with top global brands like Apple, Microsoft, Adyen, and Deloitte, creating an ecosystem for global expansion and sustainable success.
 </li>
 </ul>
 
 
 
 
 
 
 About Your Role
 
 
 
 
 As a Data Engineer at New Black, you&rsquo;ll be at the core of our technical infrastructure - implementing and optimizing data pipelines that move and transform data across our platform. You&rsquo;ll work with technologies like Spark, PySpark, Databricks, and Azure Data Services to build flows that support everything from business intelligence and reporting to real-time analytics and product performance monitoring. This role is hands-on and impact-heavy: you'll be expected to not just build, but also identify opportunities to improve architecture, fix inefficiencies, and scale data access across teams.
 
 
 
 
 
 You&rsquo;ll apply modern data modeling practices to both structured and unstructured data, ensure strong governance and compliance, and support data use cases across analytics, customer reporting, and internal product insights. From anomaly detection systems and dashboard automation to shaping platform performance metrics - you&rsquo;ll help set the standard for how we work with data. As our data ecosystem grows, your work will enable more informed decisions, faster iteration, and stronger outcomes across the business.
 
 
 
 
 
 
 
 What Are We Looking For?
 
 
 
 
 We are specifically looking for a Nerd that already has the following skills:
 
 
 
 
 
 
 Technical expertise:
 
 
 <ul>
 <li>
 Proven experience designing and implementing scalable data architectures in cloud environments
 </li>
 <li>
 Strong command of Spark / PySpark, Databricks, and Azure Data Services (EventHubs, EventGrid)
 </li>
 <li>
 Experience with Structured Streaming, Kafka, Pub-Sub and SNS
 </li>
 <li>
 Solid skills in SQL and Python for data manipulation and orchestration
 </li>
 <li>
 Experience integrating with BI tools such as Power BI
 </li>
 <li>
 Familiarity with data security, compliance, reliability, and test-driven development
 </li>
 <li>
 Owns job orchestration: scheduled + table-update-triggered jobs, task chaining, and failure-mode handling (defer vs. crash)
 </li>
 </ul>
 
 
 
 
 
 Bonus points for:
 
 
 <ul>
 <li>
 Experience with hybrid Postgres + Lakehouse data platforms, keeping hot-path and cold-store in sync
 </li>
 <li>
 Writes PySpark transforms that materialize business rules as queryable tables
 </li>
 <li>
 Engineers reliable async integrations to external systems via intent-queue drains with idempotency in mind
 </li>
 <li>
 Codifies infrastructure as code: Databricks Asset Bundles for jobs, azd/Bicep for the API, Alembic for schema
 </li>
 <li>
 Operational maintenance through logging and alerting (datadog, splunk)
 </li>
 </ul>
 
 
 
 
 
 Mindset:
 
 
 <ul>
 <li>
 Proactive and curious - always looking for ways to improve or optimize
 </li>
 <li>
 Analytical and solutions-oriented, able to troubleshoot and move fast
 </li>
 <li>
 Comfortable working cross-functionally and translating business needs into scalable solutions
 </li>
 <li>
 Unafraid to speak up, ask the tough questions, and share new ideas
 </li>
 </ul>
 
 
 
 
 
 
 What we offer
 
 
 
 <ul>
 <li>
 A company like no other; New Black really takes care of you. We hire with the intention to keep you!
 </li>
 <li>
 To be your own boss, for we don&rsquo;t have a hierarchy but implemented a holacratic way of working. Everyone is equal.
 </li>
 <li>
 State of the art equipment for your home office (AirPods, Macbook etc.), and many amazing perks which will reflect your effort and input.
 </li>
 <li>
 Determine your own working hours and days. Determine your own off-time and working location.
 </li>
 <li>
 When you come to the office &ndash; the travel is on us!
 </li>
 <li>
 Our own chef who prepares amazing lunches for you in the office.
 </li>
 <li>
 To be part of something great, not just a job, but a movement in Retail IT landscape. This is a company where everyone works with passion, and they are the best in what they do.
 </li>
 </ul>
 
 
 
 
 We are changing the future of retail worldwide, and we invite you to be part of it. Apply because you&rsquo;ve got the motivation to change the game of global retail and the skills to back it up.
 
</div>

Data Engineer

Everything Managed Group

<div>Data Engineer: 
The Everything Managed Group is a dynamic, innovative and technology driven business committed to leveraging data-driven insights to optimise operations and drive strategic decision-making. We are now seeking a talented Data Engineer to play a significant part in the design, delivery and ongoing evolution of the EMG data platform. 
Summary:

As a Data Engineer, you will play a critical role in transforming data into actionable insights and supporting our data infrastructure. You will collaborate with cross-functional teams to gather requirements, design data pipelines and transformations, and develop analytical solutions to address business challenges. 
Responsibilities:
<div>
<ul><li>Collaborate with cross-functional teams, including system administrators, developers / engineers, external partners, and business stakeholders, to understand requirements and deliver solutions.</li></ul>
<ul><li>Design, build and maintain scalable data pipelines to ingest, process and transform structured and unstructured data from diverse sources.</li></ul>
<ul><li>Optimise solutions for performance, reliability, and scalability, ensuring efficient data processing and storage.</li></ul>
<ul><li>Perform exploratory profiling and validation on new data sources to assess quality, structure and fitness for purpose prior to pipeline development.</li></ul>
<ul><li>Implement and manage orchestration workflows to automate data pipeline scheduling monitoring and error handling.</li></ul>
<ul><li>Design and implement data quality and consistency schemes to ensure the integrity and consistency of data, management information and reporting.</li></ul>
<ul><li>Design and implement well-structured optimised data models that enable accurate, performant reporting and analysis by downstream stakeholders both within the team and across the wider organisation.</li></ul>
<ul><li>Ensure the data platform is fully documented, maintaining up-to-date information requirements, data models, data dictionaries, and ETL mappings.</li></ul>
<ul><li>Provide ad-hoc deep dive analysis, reporting requests and management information to business users.</li></ul>
<ul><li>Communicate technical concepts and findings to non-technical audiences in a clear and understandable manner.</li></ul>
<ul><li>Provide training and support to others, sharing best practices and fostering culture of continuous learning.</li></ul>
<ul><li>Plan and prioritise work to ensure on time delivery of tasks.</li></ul></div> 


Skills and Experience:
<ul>
<li>Degree in Mathematics, Statistics, Computer Science, Engineering or a related field or equivalent practical experience in a data engineering role. .</li>
<li>Ideally experienced as a Data Engineer with hands-on experience designing and delivering data pipelines using industry-standard tools and cloud technologies.</li>
<li>Knowledge of data engineering concepts, data pipeline development, ETL processes, data lake and data warehousing technologies.</li>
<li>Proficiency in working with at least one major cloud data platform or lakehouse technology.</li>
<li>Data modelling skills (including 3NF and dimensional modelling).</li>
<li>Good knowledge of relational database technologies and concepts.</li>
<li>Excellent analytical and problem-solving skills with a keen attention to detail.</li>
<li>Good verbal and written communication skills with the ability to collaborate across teams and present findings to stakeholders.</li>
<li>Experience with data transformation and/or distributed processing concepts, technologies and best practices is a benefit.</li>
<li>Proficiency in Python for data engineering tasks (e.g. pipeline scripting, data transformation, automation)</li>
<li>Experience using version control (Git) and familiarity with CI/CD practices for data engineering workflows.</li>
<li>Ability to work both independently and collaboratively in a dynamic environment.</li>
<li>Strong customer focus and stakeholder skills.</li>
<li>Ability to prioritise tasks and work effectively in a fast-paced environment.</li></ul></div>

ARMADA Supply Chain Solutions

<div>
 
 Summary
 
 
 
 As a Data Engineer for our Digital Services division, you will drive the evolution of our next generation data infrastructure, which powers a wide range of analytics and software products. You will be responsible for designing, developing, and maintaining advanced data pipelines using the latest technologies in cloud computing and data processing. In this pivotal role, you will collaborate with cross-functional teams including data scientists, software engineers, and business analysts. You will use your excellent soft skills to interface with non-technical stakeholders and ensure that their needs are met in the form of functional and non-functional requirements.
 
 
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Design, build, and maintain our data infrastructure to support analytics and integration into software products and services.
 </li>
 <li>
 Partner with data scientists to build processing pipelines that enable them to rapidly create high-quality machine learning models.
 </li>
 <li>
 Work with software engineers to develop and maintain pipelines to feed data to our growing software portfolio.
 </li>
 <li>
 Manage ETL/ELT processes as code and foster a codebase that is extensible and maintainable by all team members.
 </li>
 <li>
 Manage the transition from quick prototype to full scalable solution that supports production products.
 </li>
 <li>
 Identify, recommend, and implement innovative approaches and technologies that will evolve our existing processes
 </li>
 <li>
 Provide ad hoc support to the engineering team, including POC software development, ML model development, and data analysis, as project needs arise.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education and experience requirement
 
 
 
 <ul>
 <li>
 BS/MS Degree in Computer Science, Engineering, Data Analytics, or related field.
 </li>
 <li>
 3+ years&rsquo; experience in data engineering, ETL development, or similar role.
 </li>
 <li>
 Strong problem-solving skills to discover, address, and resolve issues.
 </li>
 <li>
 Demonstrated ability to translate technical concepts into actionable insights for different stakeholders.
 
 
 </li>
 </ul>
 
 Language And Technical Skills Requirement
 
 
 
 <ul>
 <li>
 Proficient in programming languages such as Python and SQL and development tools such as Git.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP for deploying and managing data infrastructure.
 </li>
 <li>
 Skilled with rational database schema design.
 </li>
 <li>
 Hands-on experience with data processing tools and platforms such as Snowflake, Azure Synapse, Azure Data Factory, Data Bricks, etc.
 </li>
 <li>
 Solid understanding of machine learning models, tools, libraries, and approaches.
 </li>
 <li>
 Experience with business intelligence tools such as Power BI, Spotfire, Cognos, Tableau, Qlik.
 
 
 </li>
 </ul>
 
 Physical demands and work environment
 
 
 
 The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
 
 
 <ul>
 <li>
 Work is usually performed in an office environment with normal noise levels. Involves prolonged sitting and computer usage.
 </li>
 <li>
 Work may involve limited travel.
 </li>
 </ul>
</div>

Flix

<div>
 We&rsquo;re looking for a
 
 Data Platform Engineer (m/f/d)
 
 to join our team and help build and operate the data infrastructure that powers Flix&rsquo;s mobility platform.
 
 
 At FlixTech, our data platform enables teams across the company to process, analyze, and act on large volumes of mobility data. The platform supports critical use cases such as network planning, pricing, operations, and business analytics. You will work on scalable infrastructure that processes millions of daily events and ensures reliable data availability across the organization.
 
 
 You&rsquo;ll be part of a cross-functional engineering environment collaborating with data analysts, data scientists, and platform engineers. The role focuses on building reliable, scalable data systems and enabling other teams to work efficiently with data.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data infrastructure running on AWS and Kubernetes
 </li>
 <li>
 Develop and operate streaming and data platform components using technologies such as Kafka and Snowflake
 </li>
 <li>
 Implement monitoring, alerting, and operational tooling to ensure platform reliability and performance
 </li>
 <li>
 Own features end-to-end, including development, testing, deployment, monitoring, and maintenance
 </li>
 <li>
 Build and maintain Infrastructure as Code using Terraform and GitLab CI/CD
 </li>
 <li>
 Collaborate with data analysts, data scientists, and stakeholders to support data platform use cases
 </li>
 <li>
 Contribute to improving platform reliability, automation, and engineering practices
 </li>
 <li>
 Participate in on-call rotations to support the stability of the data platform
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 3+ years of experience building or operating data infrastructure or data platforms
 </li>
 <li>
 Hands-on experience with streaming technologies such as Kafka and data warehouses like Snowflake
 </li>
 <li>
 Experience with Infrastructure as Code tools (e.g., Terraform) and CI/CD pipelines (e.g., GitLab)
 </li>
 <li>
 Practical experience with cloud platforms (preferably AWS) and container platforms such as Kubernetes
 </li>
 <li>
 Experience with monitoring and observability tools (e.g., Datadog or similar)
 </li>
 <li>
 Solid programming skills in Python and interest in writing clean, maintainable code
 </li>
 <li>
 Strong collaboration and communication skills when working with technical and business stakeholders
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with advanced SQL or data transformation tools (e.g., dbt)
 </li>
 <li>
 Experience with data processing frameworks (e.g., PySpark)
 </li>
 <li>
 Knowledge of security and networking concepts relevant for data platforms
 
 
 </li>
 </ul>
 We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends &amp; family.
 </li>
 <li>
 Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
 </li>
 <li>
 Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
 </li>
 <li>
 Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
 </li>
 <li>
 Learning &amp; Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
 </li>
 <li>
 Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.
 
 
 </li>
 </ul>
 To view more local benefits specific to each office location, please check out this link:
 
 Locations - Flix Career
 
 
 
 
 Why Join Flix?
 
 
 
 At Flix, you&rsquo;ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
 
 
 As we continue to expand across the globe, you can make a real difference in how we work.
 
 
 If you&rsquo;re ready to grow and lead your journey, Flix is the place for you!
</div>

Data Platform Engineer (Mid-Level) (m/f/d)

12Build

<div>Ready to leverage your engineering skills to build the ultimate data foundation for our growth from the ground up? Are you ambitious, equipped with rock-solid technical skills, and eager to be the go-to expert for our mission-critical data infrastructure? Do you crave the autonomy and ownership to hands-on build a scalable, future-proof data ecosystem? If so, we are looking for you! ️&zwj; ️
Your Part of the Adventure
We stand on the brink of a massive growth acceleration and are fully data-driven. As a Senior Data Engineer, you will join our Data Insights team and build the foundation upon which the entire company makes its decisions: a robust Medallion Architecture (Bronze/Silver/Gold) and scalable data pipelines that convert raw signals into strategic intelligence.
What does this entail exactly?<ul><li>
Builder &amp; Visionary: You anticipate our scalability needs for the next 12&ndash;24 months, but your real focus is leading the charge in setting up, coding, and tuning this infrastructure. You determine the speed and stability of our data flows.</li><li>
Databricks Ownership: You are the owner and primary builder of our data platform, with Databricks serving as the central hub for all our data. You are hands-on with database administration, core pipeline architecture, and performance tuning to lower query execution times.</li><li>
Integrations &amp; Governance: You collaborate directly with the Head of Data to translate vision into stable code, build new API integrations, and seamlessly connect tools like Segment (CDP) to power customer and market segmentation for Sales and CS. You ensure our core platform hits a 99.9% uptime stability while complying with all security and privacy guidelines.</li><li>
Technical Authority: Beyond your steering role, you act as a technical mentor within the team, providing on-the-job support to help junior and medior engineers grow.</li><li>
Foundation for Scaling: Working right in the middle of our company scaling phase, you deliver the rock-solid infrastructure that keeps our rapid growth manageable and profitable. You are a true connector between execution and technology.</li></ul>
Sven&rsquo;s tip for new 12Builders:
&ldquo;Finding your own style and using it to inspire your colleagues is strongly encouraged!&rdquo;
Who is 12Build?
With a healthy dose of Drive, Openness and Happiness, we are building a transparent construction sector. We are not only a SaaS platform that connects construction companies and promotes collaboration, we are also the market leader in the Netherlands. We have been around for almost twenty years and we are still growing. Our team now consists of more than 90 colleagues, working together from two offices and various home offices throughout Europe. A large part of the construction world in the Benelux, Germany and Denmark already works on our platform and uses our software on a daily basis. And we have the ambition to conquer the whole of Europe!
Our Stack &amp; Tools
Within our data team, we are continuously expanding our toolkit with a world-class data foundation and the latest cloud technologies. We work with, among other things:<ul><li>
Data Platform &amp; Core Architecture: Databricks as our central storage and hub, structured according to the Medallion Architecture (Bronze/Silver/Gold).</li><li>
Pipeline Engineering &amp; Tuning: Complex ETL processes, robust pipeline architectures, API wrappers, and advanced performance tuning systems.</li><li>
Customer Data &amp; Analytics: Segment (CDP) as our central source for segmentation and behavioral data.</li><li>
Collaboration: Linear, Confluence, and Slack.</li></ul> 
What We Expect from You
<ul><li>An experienced, hands-on Data Engineer recognized as an expert in mission-critical data infrastructure with a clear vision for scaling platforms.</li><li>
Deep experience with Databricks, pipeline engineering, building API connections, and complex ETL processes.</li><li>
Demonstrated knowledge of database administration, setting up a Medallion Architecture, and extensive performance tuning.</li><li>
A proactive Craft Authority who anticipates scalability issues but loves hands-on building and mentoring colleagues just as much.</li><li>
Analytically minded, flexible, eager to learn, and always up-to-date with the latest industry developments.</li><li>
A minimum of 5 years of experience in data engineering, preferably within a SaaS environment.</li><li>
Cultural Match: You fully resonate with our core cultural values: You are transparent (Active Honesty) and possess a rock-solid Growth Mindset. You are an Ownership Leader with an absolute Commitment to the Craft. You bring great cultural energy and ensure that colleagues feel valued.</li></ul>
What We Offer You<ul><li>
A starting salary between &euro;5,200 and &euro;6,400 gross per month (based on a senior job level).</li><li>
A 'Lease a Bike' scheme with a &euro;10 monthly employer contribution.</li><li>
A home office allowance for the days you work from home.</li><li>
Free lunch at our office in Nijverdal.</li><li>
30 vacation days per year.</li><li>
An exciting role within a growing, international SaaS scale-up.</li><li>
Flexible work options (hybrid setup: both from home and the office).</li><li>
Regular team events and ample opportunities for personal and professional development.</li><li>
Choose your own hardware: Windows, Mac, or Linux&mdash;everything is possible.</li></ul><ul><li>
Working in an organisation where culture really is number one. Read here how we do that.</li><li>
No towering hierarchical layers. Just a flat organisation with short lines of communication, which makes things easy.</li></ul>
You've taken the time to read this text all the way through. That says it all, right? So feel free to apply!
Do you have any questions or are you still a little unsure? No problem! Feel free to send an email to Leonie from HR (l.vanmook@12Build.com).<h3 class="jobSectionHeader">
See you soon!</h3></div>

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