(senior) cloud infrastructure engineer - aws · gcp · azure

data engineer

data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

platform engineer

senior data platform engineer Jobs in Amsterdam

senior data platform engineer

(senior) cloud infrastructure engineer - aws · gcp · azure Jobs in Amsterdam

senior database engineer

Xomnia

<div><h3 class="jobSectionHeader">Senior Data Platform Engineer</h3>
At Xomnia, Senior Data Platform Engineers don't just build systems. They define how data platforms evolve. As a Senior Data Platform Engineer, you will set the architectural direction that enables organizations like KLM, Enexis, and Rabobank to operate at the frontier of data and AI. 
 
You build with conviction: shaping standards, steering technical trade-offs, and leaving a lasting mark on both client platforms and the broader engineering culture at Xomnia.<h3 class="jobSectionHeader">
Lead architecture that others build on</h3>
Joining Xomnia means entering a community of over 20 nationalities driven by one shared ambition: using data and AI to solve problems that actually matter. At senior level, that ambition takes on a different weight. You are not just executing, you are setting direction. The Xomnia way rewards engineers who challenge assumptions, share knowledge generously, and raise the bar for everyone around them.
As a Senior Data Platform Engineer, your growth trajectory leans into ownership. You'll drive architectural decisions, act as a trusted technical advisor to clients, and mentor the engineers coming up behind you. Dedicated internal time gives you space to explore new technologies and contribute to the standards that define how Xomnia builds.<h3 class="jobSectionHeader">
What the role looks like in practice</h3>
Your week moves between our Amsterdam HQ on Raamstraat with its canal views, uneven floors, and the kind of Friday design sessions that actually move things forward, client environments, and home. At senior level, you're as likely to be leading a migration architecture discussion as you are optimizing a pipeline that processes millions of records overnight.
Some examples of the type of work we do: a cloud platform overhaul at a.s.r, a data infrastructure project at DAF, and an end-to-end solution at Albert Heijn.<h3 class="jobSectionHeader"> 
What you bring to the table</h3>
You've moved past proving you can build; now you're focused on building the right things, the right way, and bringing others along with you. What we're looking for:<ul><li>
5+ years in data engineering or data-intensive backend systems, with end-to-end ownership of production-grade platforms.</li><li>
You translate technical depth into clear direction for engineers, clients, and stakeholders.</li><li>
Proven experience designing scalable cloud architectures and leading the technical discussions that drive decisions.</li><li>
Deep expertise optimizing pipelines for performance, reliability, and cost, at a scale where it matters.</li><li>
An excellent understanding of technology trade-offs in data platforms specific to a wide range of different use cases.</li><li>
Proficiency with Infrastructure as Code (e.g., Terraform) and CI/CD-driven data workflows.</li><li>
Fluent in English; Dutch is a strong plus.</li><li>
Eligible to work in the Netherlands.</li></ul><h3 class="jobSectionHeader">
What's in it for you?</h3>
Xomnia invests in the people who push things forward. For Senior Data Platform Engineers, that looks like this:<ul><li>
A monthly salary between &euro;5,650 &ndash; &euro;6,800 (based on 40 hours, excluding vacation allowance), plus Stock Appreciation Rights to share in what we're building together.</li><li>
A dedicated &euro;5,000 annual development budget, access to Learning Labs, and real internal influence over how Xomnia engineers.</li><li>
25 vacation days, with the option for unpaid leave or the occasional stint working from abroad.</li><li>
Company trips that range from ski slopes to Jordan, regular canal boat rides, and a Raamstraat office stocked with healthy lunches and a fully loaded bar, every day.</li><li>
A solid pension scheme and flexible working arrangements.</li></ul><h3 class="jobSectionHeader">
Hear it from our engineers!</h3>
All nicely said, right? But what if you hear these words from our Data Engineers themselves? Our consultants Sara and Wesley talk about their role as Data Engineer at Xomnia and explain why working at Xomnia is so lively.<h3 class="jobSectionHeader">
Become a Xomnian!</h3>
At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
We are proud of our core values: we are challengers, we embrace agility, and we always share. Want to be part of this and take the next step in your career?
Apply now or reach out to vanity.lekkerkerker@xomnia.com We look forward to meeting you.</div>

Senior Data Platform Engineer

<div>
 
 We are looking for a
 
 Senior Data Platform Engineer
 
 to join our BUX team based in
 
 Amsterdam
 
 .
 
 
 
 
 
 Our
 
 Data &amp; AI
 
 team is a lean, international group of engineers dedicated to making BUX a truly data-driven fintech. We pride ourselves on being "platform-first", building tools that scale rather than just fixing one-off requests. We like automation, empowering our internal users, and serving our clients in the best way we can. We work closely with other internal and external stakeholders to ensure data is high-quality and actionable. Outside of the code, we&rsquo;re a collaborative bunch who value open knowledge sharing, team lunches, and the occasional post-work drink in our hybrid office setup.
 
 
 
 
 
 
 The role
 
 
 
 As a
 
 Senior Data Platform Engineer
 
 at BUX, you will architect and build the engine that powers our data-driven present and future. You won't just be moving bits from A to B; you will be designing the scalable, self-service infrastructure that drives our Data, AI, Machine Learning, and Analytics Engineering efforts. You will join the Data &amp; AI team, taking ownership of a stack that bridges event streaming with deep analytical warehousing. Your mandate has two sides:
 
 operational excellence
 
 - keeping our cloud and data infrastructure reliable, secure, and cost-aware through its full lifecycle - and
 
 enabling teams
 
 with self-service patterns and strong developer experience. You will partner with security, compliance, and risk stakeholders so our data platform stays audit-ready and aligned with expectations for financial services and regulated data. From ensuring high availability across a distributed cloud environment to security and CI/CD pipelines, your work will be the bedrock upon which all BUX intelligence is built.
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Design and maintain our core data infrastructure using GCP and Terraform. You take ownership of our network, security, and Kubernetes (GKE) posture, including managing cluster upgrades and resource scaling to ensure it is robust and cost-effective. You take care of private connectivity patterns, firewall rules, DNS, load balancing, and egress controls - so the platform stays defensible and operable.
 </li>
 <li>
 Develop internal tooling and APIs that empower our data consumers to self-serve, reducing friction between raw data and insights. Also work on features that directly deliver value to our customers.
 </li>
 <li>
 Refine our ingestion layers - managing the flow from Kafka and Pub/Sub into GCS - while maintaining a smooth, safe deployment and delivery process for platform changes.
 </li>
 <li>
 Improve workflows in Airflow, and contribute to ensuring the transformation layer is fresh using dbt.
 </li>
 <li>
 Design and test automated failover and self-healing patterns that withstand regional or major dependency failures. Shape disaster recovery and backup/restore for critical data paths where it matters, and treat observability (metrics, tracing, alerting) and clear SLOs as first-class platform responsibilities&mdash;before incidents, not only during them.
 </li>
 <li>
 Keep a hawk-eye on performance, reliability, and cost across our cloud and warehouse environments; turn signals into durable improvements and operational clarity.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed
 
 
 <ul>
 <li>
 You have
 
 3+ years
 
 of experience in
 
 data platform/DevOps engineering
 
 , with a track record of building production-grade platforms from the ground up.
 </li>
 <li>
 You bring a developer&rsquo;s mindset to data, with a deep understanding of testing, version control, API design, and building for scale.
 </li>
 <li>
 Deep experience with cloud providers (such as GCP/AWS) managed through Terraform, deploying services on Kubernetes and with serverless or managed services where appropriate.
 </li>
 <li>
 Strong grasp of network architecture (VPCs, segmentation, DNS, load balancing, private connectivity, egress controls) and identity (IAM-style access, workload identity patterns where relevant). You care about encryption, secrets handling, vulnerability-aware. operations, and secure CI/CD for infrastructure changes.
 </li>
 <li>
 You have a deep understanding of interconnected data systems and can architect them to fail gracefully while maintaining data integrity across the entire lifecycle.
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Familiarity with high-throughput messaging (Kafka, Pub/Sub) and cloud storage (GCS). Experience with dbt for maintaining a clean, version-controlled transformation layer is a significant plus.
 </li>
 <li>
 Significant experience with Snowflake or similar high-performance warehouses: not just how to query, but how to manage, secure, and optimize them.
 </li>
 <li>
 Deep, hands-on experience with Python and SQL is a strong plus to help you hit the ground running.
 </li>
 <li>
 Hands-on experience with Airflow (or similar tools like Dagster or Prefect) is a strong plus for navigating our current environment.
 </li>
 <li>
 We value engineers who stay ahead of the curve by leveraging AI-assisted development tools (like GitHub Copilot or Cursor) and have an interest in or experience with ML platforms like VertexAI.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our benefits
 
 
 <ul>
 <li>
 International work environment
 </li>
 <li>
 Company pension plan
 </li>
 <li>
 Flexibility is at our core; we offer a hybrid work environment (1-2 days at the office)
 </li>
 <li>
 Working from home allowance
 </li>
 <li>
 Mobility benefit
 </li>
 <li>
 Gym membership contribution via Urban Sports
 </li>
 <li>
 Learning budget and full access to our learning and development platform
 </li>
 <li>
 A1 Dutch language course for you (and your partner)
 </li>
 <li>
 Delicious lunches at the office
 </li>
 <li>
 The possibility to work from abroad for 1 month every 12 months
 </li>
 <li>
 Take care of your mental and emotional well-being with unlimited appointments with psychologists or coaches through OpenUp
 </li>
 <li>
 Regular team gatherings and fun company events
 </li>
 </ul>
 
 
 
 
 
 BUX for everyone
 
 
 
 At BUX, we&rsquo;re committed to making investing accessible and affordable for everyone through our intuitive app. We believe that a diverse team with a range of backgrounds, skills, and perspectives is key to achieving this mission. By embracing diversity, we strengthen our ability to innovate and serve our customers better.
 
 
 To fully benefit from our diversity, it&rsquo;s essential that everyone feels safe, included, and valued. We are dedicated to creating a workplace where each of us can bring our full selves to work and contribute to our shared goals.
 
 
 
</div>

Angi

<div>For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:<ul><li>
Founded in 1995 as Angie&rsquo;s List and rebranded in 2021</li><li>
Global company with 9 brands in 8 countries and employees worldwide</li><li>
Homeowners have turned to us for 300 million home projects and counting</li></ul>
About the team:
Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows.
What You'll Do:<ul><li>
Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute)</li><li>
Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads</li><li>
Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards</li><li>
Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives</li><li>
Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows</li><li>
Participate in on-call rotations and lead troubleshooting efforts for complex production issues</li><li>
Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability</li></ul>
Who You Are:<ul><li>
5+ years of experience in infrastructure, platform engineering, or data engineering roles</li><li>
Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges</li><li>
Strong background in infrastructure architecture within large-scale or enterprise environments</li><li>
Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems</li><li>
Extensive experience with end-to-end Kubernetes management, including cluster provisioning, lifecycle management, and observability</li><li>
Strong proficiency with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, crossplane, or Pulumi) to automate and manage cloud environments</li><li>
Proven experience self-hosting and managing core infrastructure and open-source tools as an alternative to using commercial managed services</li><li>
Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg)</li><li>
Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows</li><li>
Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery</li><li>
Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders</li><li>
Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners</li><li>
Track record of producing clear, high-quality documentation and enabling others through shared knowledge</li><li>
Mindset of an enabler&mdash;focused not only on building systems, but on empowering other teams to use them effectively</li></ul>
Compensation &amp; Benefits<ul><li>
The salary band for this position ranges from &euro;85,000 - &euro;115,000, commensurate with experience and qualifications.</li><li>
Hybrid work environment and home office set-up allowance</li><li>
Temporary work from abroad policy</li><li>
Regular team and social events</li></ul></div>

Senior Engineer, Data Infrastructure

Just Eat Takeaway.com

<div>
 
 
 Ready for a challenge?
 
 
 
 
 Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.
 
 
 Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
 
 
 
 About This Role
 
 
 
 We are looking for a Senior Data Engineer to join the Batch team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway.
 
 
 Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API. As part of the Batch team, you will own the components that make this a reality for batch processing.
 
 
 We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.
 
 
 
 
 Location: Hybrid - 3 days a week from our Amsterdam office &amp; 2 days working from home
 
 
 Reporting to: Senior Team Leader - Data Engineering
 
 
 
 
 
 
 These are some of the key components to the position:
 
 
 
 
 <ul>
 <li>
 Design, build, and continuously improve batch and data processing pipelines on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.
 </li>
 <li>
 Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.
 </li>
 <li>
 Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.
 </li>
 <li>
 Champion data quality and governance by defining and maintaining data contracts, metadata, and lineage across the pipelines you own.
 </li>
 <li>
 Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.
 </li>
 <li>
 Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.
 </li>
 <li>
 Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.
 </li>
 <li>
 Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.
 </li>
 <li>
 Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.
 
 
 </li>
 </ul>
 
 
 What will you bring to the team?
 
 
 
 
 <ul>
 <li>
 Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade data pipelines at scale.
 </li>
 <li>
 Confident working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments. Knowledge of Golang is a strong advantage.
 </li>
 <li>
 Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products.
 </li>
 <li>
 Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency.
 </li>
 <li>
 Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures.
 </li>
 <li>
 Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners.
 </li>
 <li>
 Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow).
 </li>
 <li>
 Comfortable establishing monitoring, logging, and alerting for data pipelines to drive operational excellence and fast incident response.
 </li>
 <li>
 An appreciation for data governance - including metadata management and data contracts - as a foundation for responsible, trustworthy data products.
 </li>
 <li>
 A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar.
 
 
 </li>
 </ul>
 
 
 At JET, this is how we play
 
 
 
 
 Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
 
 
 Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.
 
 
 At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
 
 
 Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.
 
 
 
 
 Inclusion, Diversity &amp; Belonging
 
 
 
 
 No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
 
 
 
 What else are we delivering?
 
 
 
 Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
 
 
 
 
 Are you ready to join the team? Apply now!
 
 
 
 
</div>

Senior Data Engineer

PRACYVA

<div>
 
 We are seeking an experienced
 
 Senior AS400 Engineer
 
 to join the DevOps team. The role focuses on maintaining, enhancing, and supporting AS400 (IBM i) applications while ensuring business continuity and operational stability. The ideal candidate will have strong expertise in RPG development, production support, DevOps practices, and legacy system modernization.
 
 
 
 Key Responsibilities
 
 
 
 
 Application Development &amp; Maintenance
 
 
 <ul>
 <li>
 Maintain, enhance, and support existing AS400 (IBM i) applications.
 </li>
 <li>
 Develop fixes and new enhancements for legacy applications.
 </li>
 <li>
 Perform code analysis, debugging, and application optimization.
 </li>
 <li>
 Ensure high application availability and business continuity.
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Perform incident triage, troubleshooting, and issue resolution.
 </li>
 <li>
 Conduct Root Cause Analysis (RCA) for production issues.
 </li>
 <li>
 Manage ITSM tickets while meeting SLA, MTTR, and incident reduction targets.
 </li>
 <li>
 Support batch jobs, job scheduling, and system monitoring.
 </li>
 </ul>
 
 
 Technical Leadership
 
 
 <ul>
 <li>
 Mentor junior engineers and provide technical guidance.
 </li>
 <li>
 Act as Team Lead whenever required.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure smooth project delivery.
 </li>
 </ul>
 
 
 Integration &amp; Legacy Systems
 
 
 <ul>
 <li>
 Support integrations between AS400 and enterprise systems such as SAP, POS, and logistics platforms.
 </li>
 <li>
 Analyze APIs, data flows, and system dependencies.
 </li>
 <li>
 Work with custom-built ERP and legacy applications.
 </li>
 </ul>
 
 
 Modernization &amp; DevOps
 
 
 <ul>
 <li>
 Support AS400 modernization initiatives and SAP S/4HANA migration programs.
 </li>
 <li>
 Contribute to DevSecOps initiatives and improve deployment processes.
 </li>
 <li>
 Understand coexistence strategies during AS400 to SAP transitions.
 </li>
 <li>
 Support monitoring, observability, CI/CD, and release management practices.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 AS400 / IBM i
 
 
 <ul>
 <li>
 RPG III
 </li>
 <li>
 RPG IV
 </li>
 <li>
 RPG ILE
 </li>
 <li>
 RPG Free Format
 </li>
 <li>
 CLP Programming
 </li>
 <li>
 LANSA
 </li>
 <li>
 DB2/400 (DB400)
 </li>
 <li>
 Embedded SQL
 </li>
 </ul>
 
 
 System Knowledge
 
 
 <ul>
 <li>
 AS400 Job Processing
 </li>
 <li>
 Batch Processing &amp; Scheduling
 </li>
 <li>
 Database Design
 </li>
 <li>
 File Systems &amp; Data Structures
 </li>
 <li>
 Legacy ERP Systems
 </li>
 <li>
 Custom Applications
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Incident Management
 </li>
 <li>
 Root Cause Analysis (RCA)
 </li>
 <li>
 ITSM Tools
 </li>
 <li>
 Ticket Management
 </li>
 <li>
 SLA &amp; MTTR Management
 </li>
 </ul>
 
 
 Good to Have Skills
 
 
 <ul>
 <li>
 SAP S/4HANA Migration
 </li>
 <li>
 Legacy System Modernization
 </li>
 <li>
 Automation Tools
 </li>
 <li>
 AI-Assisted Troubleshooting
 </li>
 <li>
 Knowledge Graph &amp; Documentation Tools
 </li>
 <li>
 DevOps Practices
 </li>
 <li>
 Monitoring &amp; Observability
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Release Management
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with poorly documented legacy systems.
 </li>
 <li>
 Experience in reverse engineering applications.
 </li>
 <li>
 Strong stakeholder management and collaboration skills.
 </li>
 <li>
 Ability to work with Business SMEs, SAP teams, vendors, and multi-vendor environments.
 </li>
 <li>
 Ownership mindset with a strong focus on system stability and business continuity.
 </li>
 <li>
 Quick learner with the ability to understand complex legacy applications.
 </li>
 </ul>
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 SLA Compliance
 </li>
 <li>
 MTTR (Mean Time to Resolution)
 </li>
 <li>
 Incident Reduction
 </li>
 <li>
 Escalation Management
 </li>
 <li>
 DORA Metrics
 </li>
 <li>
 Change Deployment Rate
 </li>
 <li>
 Business Continuity &amp; Operational Stability
 </li>
 </ul>
 
 
 
</div>

AS400

Curve Royalty Systems

<div>Curve are looking for an experienced Senior Java Engineer to join our growing organisation. This role will be central to the data engineering team whose purpose is to re-architect our backend financial data mapping and transformation processes into ETL pipelines optimised for cost, speed, accuracy and scalability.

This is a key role within a highly collaborative engineering team, working on systems that process complex royalty, financial and rights-related data at significant scale. You will help shape the next generation of Curve's platform, replacing legacy workflows with robust, testable and scalable Java-based services and data pipelines.

The ideal candidate will be comfortable working across software engineering, data engineering and cloud infrastructure. They will bring strong backend engineering experience, a pragmatic approach to technical decision-making, and the ability to work closely with product, engineering and operational teams to deliver reliable systems that support our clients and their artists, labels, distributors and publishers. 


Responsibilities:
<ul>
<li>Collaborate with stakeholders in the product and engineering teams to shape, deliver and maintain a brand-new Best-in-Class royalties platform</li>
<li>Migrate existing business logic from legacy applications to Java modules running in ETL pipelines scaled to run thousands of concurrent processes</li>
<li>Contribute to the architecture, deployment and optimisation of secure and highly performant infrastructure via IaC and CI/CD pipelines</li>
<li>Contribute to the architecture, development, deployment, support, testing and monitoring of software across test, integration and production environments</li>
<li>Debug software and infrastructure components and identify defects for remediation</li>
<li>Design and coding of Apache Beam pipelines to deliver distributed, scalable and highly performant systems using Java</li>
<li>Help define engineering standards, patterns and best practices for backend Java development and ETL pipeline design</li>
<li>Work with large, complex datasets, ensuring transformations are accurate, auditable and performant</li>
<li>Contribute to technical design discussions, architectural reviews and implementation planning</li>
<li>Build systems with observability, resilience, security and operational support in mind</li>
<li>Support the continuous improvement of our development workflows, deployment processes and engineering tooling</li>
<li>Work closely with QA and Technical Operations teams to ensure software is tested, monitored and supportable in production</li>
<li>Take ownership of technical problems from investigation through to delivery and ongoing improvement</li>
<li>Share knowledge with the wider engineering team through documentation, code reviews, mentoring and collaborative problem-solving</li></ul> 


Requirements:
<ul>
<li>6+ Years software engineering experience at a senior level</li>
<li>Excellent written and verbal communications skills</li>
<li>Significant hands-on experience in enterprise level software development</li>
<li>Solid understanding of ETL processes and implementation</li>
<li>Advanced technical skills in the areas of microservices, APIs and Java</li>
<li>Willingness to learn, coach and mentor</li>
<li>Great team collaboration skills</li>
<li>Ability to take responsibility for the product</li>
<li>Strong understanding of software design principles, clean code, testing and maintainability</li>
<li>Experience designing, building and supporting backend systems in production environments</li>
<li>Comfortable working with cloud-based infrastructure, CI/CD pipelines and modern deployment practices</li>
<li>Experience working with non-relational database technologies, data modelling and large-scale data processing</li>
<li>Ability to balance technical quality with pragmatic delivery in a fast-moving environment</li>
<li>Strong debugging, analytical and problem-solving skills</li>
<li>Comfortable working in a distributed or remote-first team environment</li>
<li>A proactive approach to ownership, communication and continuous improvement</li></ul> 


Experience in the following would be an advantage: 
<ul>
<li>Music Industry / Royalties / Financial Services</li>
<li>Dataflow (Apache Beam), Spark, or similar technologies</li>
<li>JavaScript / Typescript</li>
<li>Google Cloud Platform, AWS or similar cloud platforms</li>
<li>Building systems that require strong auditability, traceability and data accuracy</li>
<li>Working with financial calculations, reporting platforms or revenue allocation systems</li></ul> 
 
About You 

You are a thoughtful and experienced engineer who enjoys solving complex backend and data-processing problems. You care about quality, but you are pragmatic enough to know when to move quickly and when to slow down and get the foundations right.

You are comfortable taking ownership of important technical work, but you also value collaboration and shared understanding. You enjoy working with other engineers, product managers, QA specialists and operational teams to make sure what gets built is useful, reliable and maintainable.

You do not need prior music industry experience, but you should be interested in working on technology that supports independent labels, distributors, publishers and rights-holders. You will be joining a team that values trust, communication, technical curiosity and continuous improvement. 


Why join Curve?

At Curve, you will have the opportunity to work on meaningful, technically challenging systems at the heart of the independent music industry. Our platform supports complex royalty processing, financial data transformation and reporting workflows for a growing global client base.

You will join a growing technology team with a strong focus on engineering quality, collaboration and scalable delivery. This role offers the chance to influence architecture, improve core platform capabilities, and contribute directly to systems that make a real difference for our clients and the creators they represent.</div>

Java Engineer

Gazelle Global

<div>
 
 
 DevOps Engineer
 
 
 
 
 
 
 
 As a preferred supplier to one of our biggest
 
 Financia
 
 l
 
 Clien
 
 t, I am seeking for
 
 a DevOps Engineer
 
 for a position in
 
 Amsterdam, Netherland
 
 s
 
 
 
 
 
 
 .
 
 Responsibilitie
 
 
 <ul>
 <li>
 s:Responsibility for the full the stack/platform on Development, Test, Acceptance and Production environments. You automate relentlessly: Manage configuration via Ansible, deploy via pipelines and leave no chance to automate redundant tasks with scriptin
 </li>
 <li>
 g.Have a complete picture about Regression Testing (Functional, Performance, Security), Deployments, and Operations (Data Center failover, Backups/Restore, Security Monitoring, full stack monitoring
 </li>
 <li>
 );You take ownership of life cycle management of all components (O.S., Middleware, Database) as well as security (interface encryption certificates, user access, vulnerability analysis and patching
 </li>
 <li>
 );As part of the Squad you work in an Agile/Scrum way, on the backlog prioritised by a Technical Product Owner, and you demo your features to the Capability Squads that you work wit
 </li>
 <li>
 h;Improve application monitoring using the correct and agreed event alerts (Grafana, Prometheus, ELK, Telemetry
 </li>
 <li>
 );Support in performing High Availability and Disaster Recovery test
 </li>
 <li>
 s;Implement and work with the latest tooling with a strong focus on performance, stability and securit
 </li>
 <li>
 y;Find opportunities to automate the working of existing features, performance and security as well as the automation of deployments, monitoring, and mor
 </li>
 <li>
 e;Understand the root cause for a problem or existing gap for an enhancement and propose a viable solution for i
 </li>
 <li>
 t;Take ownership of issues and improvements, seeing them through to completion, providing comprehensive handover as require
 </li>
 <li>
 d;You assist with technical specifications for change requests and user storie
 </li>
 <li>
 s;Analyze requirements and define their applicability inside the technical environmen
 </li>
 <li>
 t;Work on technical improvements (automation, monitoring, setting up environments, Azure DevOps pipelines
 </li>
 <li>
 );Continuous deployment and delivery using Azure DevOp
 </li>
 <li>
 s;IT Risk &amp; security controls need to be put in place and accurately documented, for this you will need to get familiar and keep up to date with the ING Information Security Management Polic
 </li>
 <li>
 y;Comply with all internal guidelines, timely completion all mandatory training and always safeguard the integrity and reputation of IN
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 G;
 
 Must-Have Skills &amp; Experienc
 
 e: 5+ years&rsquo; experience in
 
 a DevOps r
 
 </li>
 <li>
 oleHands on experience with at least o
 
 ne automation tool (Ansible, Chef, Salt, Terraf
 
 orm, e
 </li>
 <li>
 tc)Cloud Platforms: Experience wi
 
 th Azure DevO
 
 </li>
 <li>
 ps.Monitoring &amp; Logging: Familiarity wi
 
 th Prometheus, Grafana,
 
 ELK stack, or similar too
 </li>
 <li>
 ls.You are highly knowledgeable
 
 on Red Hat operating syst
 
 ems (preferab
 
 ly RHEL certif
 
 ied ) and networking. Solid experience
 
 in cluste
 
 red environments, managi
 
 ng serv
 
 ers a
 
 nd troubleshoot
 
 in
 </li>
 <li>
 g ;Experience wi
 
 th CI/CD tool
 
 ing (such a
 
 s: Azure DevOps, Git, Sonar, Checkm
 
 ar
 </li>
 <li>
 x);Experience with at least o
 
 ne virtualizat
 
 ion - and/
 
 or containerizat
 
 ion technologie
 
 s; VMWare, Openstack, Docker, Kubernetes, Opensh
 
 i
 </li>
 <li>
 ft;Ability to automate release processes and operations using e.
 
 g. Python, Shell, Ansi
 
 b
 </li>
 </ul>
 
 
 
 
 
 le;
 
 Cont
 
 ract: 6+ m
 
 
 
 onthR
 
 ates: Excel
 
 
 
 lentLoca
 
 tion: Amste
 
 
 
 rdamInter
 
 view: 2 st
 
 
 
 
 
 
 ages
 
 Nick Chinweer
 
 
 
 
 apuntAccount Ma
 
 
 
 
 nagerGazelle Global Consu
 
 
 
 ltingTel +31 85 111
 
 
 0171Tel +44 203 588
 
 
 7747Mob +44 7377 40
 
 
 3 773nick@gazelleg
 
 
 
 
 c.com
</div>

DevOps Engineer

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