data platform engineer

ProFocus

<div><h1 class="jobSectionHeader">Data Platform Engineer</h1>
TITLE: Data Platform Engineer
LOCATION: Beaverton, OR area (onsite 4 days/remote 1 day)
PAY: Target pay for this role is $110,000&ndash;$120,000 per year but may vary based on experience
ENGAGEMENT TYPE: Direct Hire
Please NO Third-Party Applicants.
WHAT YOU'LL BE DOING
Our client is looking for an experienced Data Platform Engineer to design, build, and support the data pipelines, reporting solutions, and business applications that power data-driven decision-making across the organization. This is a hands-on, high-autonomy role that blends data engineering, Power Platform development, and platform support on a modern Microsoft-centric stack &mdash; a great fit for an engineer who wants to build, not just maintain.
In this role, you'll:
<ul><li>Design, develop, and support business applications, automation solutions, and system integrations that improve operational efficiency.
</li><li>Build, maintain, and optimize data pipelines, ETL/ELT processes, and data models to ensure accurate, reliable, and accessible information across multiple business systems.
</li><li>Create and enhance reporting, dashboards, and analytics that deliver actionable insights for operational and strategic decision-making.
</li><li>Develop and support Power Platform solutions &mdash; apps, workflows, and data models &mdash; to automate processes and boost productivity.
</li><li>Troubleshoot and resolve complex application, data, integration, and reporting issues using root cause analysis.
</li><li>Support platform infrastructure, deployment processes, automation frameworks, and monitoring/observability tooling.
</li><li>Maintain technical documentation and promote data governance, security, and process standardization.
</li></ul>
WHAT YOU'LL NEED
<ul><li>Advanced proficiency with SQL and relational databases (SQL Server) &mdash; ability to query, manage, and support business data environments.
</li><li>5+ years of progressively responsible experience in data engineering, application development, systems integration, or analytics.
</li><li>Experience with Microsoft Fabric, Power BI, and DAX.
</li><li>Experience building and supporting ETL/ELT pipelines and orchestration tools (e.g., Airflow).
</li><li>Proficiency using Python for automation, data processing, reporting, or application support.
</li><li>Demonstrated experience building and supporting business applications, automated workflows, integrations, and process automation.
</li><li>Bachelor's degree or an equivalent combination of education, certifications, and relevant experience.
</li></ul>
NICE TO HAVE
<ul><li>Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
</li><li>Terraform, Kubernetes/containers, cloud technologies, and CI/CD pipelines.
</li><li>Monitoring and observability tools (Grafana or similar).
</li><li>Relevant certifications: Power Platform, Microsoft Fabric, Power BI, Azure, data engineering, or DevOps.
</li></ul>
WHY ProFocus:
Candidates come first. ProFocus is a nine-time winner of Best in Staffing for Client &amp; Talent Satisfaction.
Quality process. We invest the time to understand your background and career goals. We only introduce you to opportunities that are the right fit.
Access to hiring managers. We have close relationships with some of the most respected local companies, from small businesses to Fortune 500 companies. These relationships give us access to roles that may not be available anywhere else.
Want to apply? Email your resume to Resume@ProFocusTechnology.com.
Visit our Job Seekers page to learn more and review other opportunities.
ProFocus is an equal opportunity employer. We value diversity in our workplace and encourage all qualified applicants regardless of race, color, age, sex, religion, national origin, physical or mental disability, pregnancy, marital status, veteran or military status, genetic information, sexual orientation, or any other characteristic protected by federal, state, or local laws.</div>

Data & Platform Engineer

kaiko.ai

<div>
 
 
 About Kaiko.ai
 
 
 
 Kaiko is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics.
 
 
 Healthcare decisions are rarely made by a single person or from a single data source. Kaiko's assistant maintains longitudinal patient context across encounters, clinicians, and institutions, enabling collaboration, second opinions, and complex diagnostic workflows. The system is designed to operate safely in real clinical environments, with human oversight, auditability, and regulatory alignment at its core.
 
 
 Our assistant core supports broadly applicable clinical tasks such as patient data navigation, guideline interaction, multimodal interaction (chat and voice), and care coordination. On top of this foundation, we are developing specialized diagnostic agents in areas such as oncology, radiology, and pathology.
 
 
 We build in close collaboration with leading hospitals and research centers, including the Netherlands Cancer Institute (NKI). kaiko is a well-funded company with a growing international team, operating from Zurich and Amsterdam.
 
 
 
 
 
 
 About The Role
 
 
 
 Our team is tackling the challenge of building a secure, scalable data and AI platform that can process massive, multimodal datasets for training cutting-edge MLLM models - while also handling sensitive medical data directly within hospital environments.
 
 
 As a Data Platform Engineer, you'll design, deploy, maintain and optimize a self-hosted, open-source&ndash;driven infrastructure that powers data ingestion, transformation, and serving for both AI training pipelines and real-time hospital applications. Your primary focus will be on the platform itself - the infrastructure, tooling, and services that enable others to work with data effectively, rather than building data pipelines as an end goal. Your work will ensure that pipelines built on top of our platform are reproducible and compliant with strict privacy regulations.
 
 
 This is a rare opportunity to shape a platform from the ground up - working with state-of-the-art tooling, solving unique scaling and security problems, and owning key technical decisions that will directly impact groundbreaking AI models and healthcare workflows.
 
 
 You will be based in either The Netherlands or Switzerland, with the expectation of spending at least 50% of your time at the office.
 
 
 
 
 
 
 Some areas of responsibility
 
 
 <ul>
 <li>
 Design, maintain and own infrastructure and deployment for data exploration, transformation, and storage - including orchestration, containerization, and monitoring.
 </li>
 <li>
 Build and maintain internal platform services that abstract away complexity and promote self-serve data access and processing.
 </li>
 <li>
 Manage, deploy, and champion the use of standard open-source tooling and products around data platform and data engineering - including deploying and managing services via Helm charts and provisioning resources with Terraform.
 </li>
 <li>
 Design and implement data pipelines where needed, contributing to data and ML workflows as part of broader platform ownership.
 </li>
 <li>
 Collaborate with researchers, product teams, and other stakeholders to support their data needs.
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 2-5 years of experience in production data platform, infrastructure, or platform engineering roles.
 </li>
 <li>
 Experience in providing in-house data orchestration services based on open-source software such as Dagster, Airflow or Prefect.
 </li>
 <li>
 Hands-on experience with infrastructure-as-code and container orchestration - particularly Terraform for resource provisioning and Helm for deploying services to Kubernetes.
 </li>
 <li>
 Proficiency with modern storage formats (e.g., Parquet, Delta, Iceberg) and object stores (e.g., S3, MinIO, Azure Blob).
 </li>
 <li>
 Solid programming skills in Python or another language suitable for data workflows (e.g., Scala or Java).
 </li>
 <li>
 Ability to thrive in a fast-paced, startup environment with a high degree of ownership.
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Experience in AI/ML environment.
 </li>
 <li>
 Understanding of data standards in the medical domain, such as DICOM, FHIR, pathology slide images (Whole Slide Images).
 </li>
 <li>
 Experience with high performance (parallel) filesystems that feed GPU's with high throughput and low latency (Hammerspace, CEPH, WEKA, VAST).
 </li>
 <li>
 Knowledge of monitoring, logging, alerting and observability tools (e.g. Prometheus, Grafana, ELK Stack or Datadog).
 </li>
 </ul>
 
 
 
 
 We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you&rsquo;re excited about us but don&rsquo;t fit every single qualification, we still encourage you to apply: we&rsquo;ve had incredible team members join us who didn&rsquo;t check every box!
 
 
 
 
 
 
 Why kaiko
 
 
 
 At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We&rsquo;ve built a team of international experts where your work has direct impact. Here&rsquo;s what we value:
 
 <ul>
 <li>
 Ownership: You&rsquo;ll have the autonomy to set your own goals, make critical decisions, and see the direct impact of your work.
 </li>
 <li>
 Collaboration: You&rsquo;ll have to approach disagreement with curiosity, build on common ground and create solutions together.
 </li>
 <li>
 Ambition: You&rsquo;ll be surrounded by people who set high standards for themselves and others, who see obstacles as opportunities, and who are relentless in their work to create better outcomes for patients.
 </li>
 </ul>
 
 
 
 
 
 In addition, we offer:
 
 
 <ul>
 <li>
 An attractive and competitive salary, a good pension plan and 25 vacation days per year.
 </li>
 <li>
 Great offsites and team events to strengthen the team and celebrate successes together.
 </li>
 <li>
 A EUR 1000 learning and development budget to help you grow.
 </li>
 <li>
 Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.
 </li>
 <li>
 An annual commuting subsidy.
 </li>
 </ul>
 
 
 
 
 
 Our interview process
 
 
 
 Our interview process is designed to assess mutual fit across skills, motivation, and values. It typically includes the following steps:
 
 <ul>
 <li>
 Screening call: A short conversation to align on your motivation, career goals, and initial fit for the role.
 </li>
 <li>
 Coding assessment &amp; debrief: You'll complete a time-limited coding exercise, started at a time of your choosing. Afterwards, you'll join a live session with members of our team to walk through your solution, explain your reasoning, and discuss any trade-offs you made.
 </li>
 <li>
 Technical interview: A deep dive into your problem-solving approach through a technical challenge, case study, or role-specific scenario.
 </li>
 <li>
 Onsite meeting: You&rsquo;ll meet team members across functions to explore collaboration dynamics, team fit, and day-to-day context.
 </li>
 <li>
 Final executive conversation: A discussion with a member of the executive team focused on long-term alignment, cultural fit, and shared expectations for impact.
 </li>
 </ul>
</div>

Data Platform Engineer

L&C Mortgages

Location: Remote
Salary: /
Contract Type: Permanent
Position Type: Full Time
Expiry Date: 21/07/2026 23:59
The Vacancy
Help shape the Future of Data at L&amp;C
We're looking for an experienced Data Platform Engineer to help lead the evolution of our data platform as we transition from existing SQL Server environments to a modern, cloud-first Azure ecosystem.
This is a hands-on engineering role with significant influence. You'll own the reliability, security, performance and continuous improvement of our data platforms while helping shape the architecture, tooling and operational practices that support the next generation of data and analytics capabilities across the business.
Working closely with engineering, architecture, operations and data teams, you'll play a key role in our adoption of Azure-native services and Microsoft Fabric, helping to build a resilient, scalable and secure platform that supports business growth and innovation.
Why This Role Matters
Data is at the heart of our business. As our Data Platform Engineer, you'll ensure our platforms are robust, secure and high-performing while driving modernisation initiatives that improve developer experience, operational efficiency and business outcomes.
You'll have the opportunity to:
Lead the transformation of our data platform towards Azure and Microsoft Fabric.
Influence engineering standards, platform strategy and best practices.
Solve complex performance, scalability and resilience challenges.
Drive automation, observability and operational excellence.
Work with modern cloud technologies in a highly regulated environment where reliability and security genuinely matter.
What You'll Own
The performance, availability, security and operational health of our SQL Server and Azure SQL environments.
Database performance optimisation, capacity planning and resilience engineering.
Monitoring, alerting and observability across the data platform using Azure-native tooling.
Backup, recovery, business continuity and disaster recovery capabilities.
Security and governance controls, including Entra ID integration, RBAC, auditing, encryption and access management.
Support for cloud migration and modernisation initiatives, helping move legacy workloads towards Azure-native architectures.
Technical guidance and collaboration with engineering teams to improve database design, data access patterns and application performance.
Continuous improvement activities, including incident response, root cause analysis and platform automation.
About You and What You'll Bring
You're an engineer who enjoys ownership, values continuous improvement and takes pride in building reliable, secure and scalable platforms. You're equally comfortable solving deep technical challenges, driving automation and collaborating with others to improve the way technology is delivered.
Experience in financial services or mortgages would be advantageous, but it's not essential. We're more interested in your technical expertise, engineering mindset and ability to make a meaningful impact.
Essential
 Strong experience administering and optimising SQL Server environments, including high availability, disaster recovery, replication, patching and maintenance.
 Expertise with Azure SQL Database, including performance tuning, geo-replication, backup and recovery, scalability and cost optimisation.
 Advanced SQL, T-SQL and database design skills, including data modelling and query optimisation.
Deep experience troubleshooting performance issues using execution plans, indexing strategies, Query Store, Extended Events and workload analysis.
Strong PowerShell and Python scripting skills.
 Experience implementing monitoring, observability and alerting solutions using Azure-native services.
Strong knowledge of Azure security and governance, including Entra ID, RBAC, PIM, managed identities and Defender for SQL.
Experience working within regulated, security-conscious or highly governed environments.
Knowledge of Azure networking and secure connectivity patterns.
Experience supporting cloud migration, platform modernisation or transformation initiatives.
Excellent problem-solving skills, sound judgement and a proactive engineering mindset.
Desirable
Infrastructure as Code using Terraform, Bicep or Azure automation tools.
Experience with Microsoft Fabric and wider Azure data services.
Site Reliability Engineering (SRE) practices, operational resilience and SLA/SLO frameworks.
Azure DevOps, CI/CD pipelines and database DevOps practices.
Experience with NoSQL technologies such as Cosmos DB or MongoDB.
Familiarity with Redgate tooling.
Why Join L&amp;C?
We care about our customers, but our employees are what make the magic happen. We&rsquo;re always ready to listen and do what we can to make L&amp;C even better for those receiving and providing our services, supporting the day to day running of the business, so working with us means being part of an environment of respect and equity with some great benefits to boot. We&rsquo;re entering a dynamic period and it&rsquo;s a great time to join us, we&rsquo;re already the UK&rsquo;s No.1 online mortgage broker but we don&rsquo;t want to stop there.
Joining L&amp;C means:
&bull; 25 days starting annual leave, plus your birthday &amp; bank holidays off non inclusive of your holiday allowance
&bull; Perkbox benefits hub (comprehensive discounts, perks &amp; wellbeing support)
&bull; Buy Holiday scheme
&bull; Electric Car Scheme
&bull; Employee assistance &amp; wellbeing programmes
&bull; Annual Summer &amp; Winter parties and team led social events
&bull; &hellip;and much more!
This is an opportunity to play a key role in a major cloud transformation programme while helping shape the future of data at one of the UK's leading mortgage brokers.
If you're excited by modern data platforms, cloud engineering and the chance to influence technology direction, we'd love to hear from you!
At London &amp; Country Mortgages, we are committed to fostering a recruitment and selection process that is inherently diverse and inclusive. We believe in the strength that comes from a variety of perspectives, backgrounds, and experiences, and we actively seek to create an environment where individuals from all walks of life feel welcome and valued. Our commitment to diversity and inclusion is not just a goal; it is a fundamental part of our organisational culture, driving us to continuously enhance our practices to ensure that every candidate has an equal opportunity to contribute and thrive within our community.
FCA Certification Regime &amp; Conduct Rules
L&amp;C is authorised and regulated by the FCA and is classified as an Enhanced Firm under the Senior Manager&rsquo;s and Certification Regime (SM&amp;CR). This role is subject to the 6 FCA Conduct rules and you will be expected to adhere to them at all times. (See below). Any confirmed breaches of the Conduct Rules will be reported to the FCA annually. Should you apply for a Certified role in another financial services firm then L&amp;C may be required to disclose this information in a Regulatory Reference request.
You must act with integrity
You must act with due care, skill, and diligence
You must be open and cooperative with the FCA, the PRA and other regulators
You must pay due regard to the interests of customers and treat them fairly
You must observe proper standards of market conduct
You must act to deliver good outcomes for retail customers
The Company
L&amp;C Mortgages - Voted the UK's best mortgage broker.
Founded in 1999 as a fee free telephone based mortgage broker - free to call and free to use our advice and service. We moved into our office in Bath and launched our first website in 2001. Winning our first award for best mortgage broker in 2002, we&rsquo;ve gone from strength to strength, with a further office in Newcastle Upon Tyne, and over 2 million people coming to us for advice on the best mortgage for them.
Today we have received over 160 awards and offer both online and telephone support. And we remain proudly fee free.
Benefits
Buy Holidays
Perkbox
Electric Car Scheme
Your Birthday Off
Company Pension
Death in Service
 If you have a question about a role, a business area or the application process itself, please check our FAQs.
 
if you still can&rsquo;t find an answer email us at TalentTeam@landc.co.uk.

Central Garden & Pet

<div>Description 
 
 
Central Garden &amp; Pet is building a modern cloud-based Enterprise Data Platform to support reporting, advanced analytics, and data-driven decision making across its brands and business units. The DevOps Platform Engineer will design, implement, and operate the data platform&mdash;with a primary focus on Databricks&mdash;and the CI/CD pipelines that support data ingestion, transformation, and analytics workloads. 
This role will own the Databricks platform experience (workspaces, clusters, permissions, jobs) and DevOps automation, partnering closely with data engineers, analytics engineers, and governance teams to ensure the platform is secure, scalable, reliable, and automated. 
 
KEY RESPONSIBILITIES 
<ul><li>
Design and implement CI/CD pipelines for data pipelines (ingestion jobs) and transformation projects (e.g., dbt on Databricks, SQL, notebooks)</li><li>
Orchestrate Databricks jobs and workflows end-to-end (ingestion, transformation, quality checks)</li><li>
Integrate automated testing into CI/CD, including schema and contract checks for data models and tables</li><li>
Implement FinOps best practices to support cost monitoring and allocation across the EDP</li><li>
Automate platform operations for Databricks and related services, such as workspace and cluster provisioning, library and runtime mgmt. and job deployment/config</li><li>
Implement and maintain identity and access management for Databricks and supporting cloud resources, including workspace- and cluster-level permissions, table- and view-level access controls (e.g., Unity Catalog or equivalent), service principals, groups, and roles for automated workloads, and RBAC &amp; TBAC models in collaboration with EDP Architect</li><li>
Provide patterns, templates, and reusable modules (Terraform modules, Airflow DAG patterns, Databricks job templates) to accelerate onboarding of new projects</li><li>
Continuously evaluate and improve tooling, pipelines, and platform architecture to increase reliability, security, and developer productivity on Databricks</li><li>
Define the code promotion process to minimize impacts across domains as code is promoted to production</li><li>
Manage end-to-end orchestration using managed Airflow. Contribute to defining and tracking SLA/SLO/SLIs for the platform and participate in incident response (triage, root cause analysis)</li><li>
Practical knowledge of IT Infrastructure technologies, cloud computing Azure), cybersecurity, and disaster recovery.</li><li>
Working knowledge of Azure ecosystem, including hands-on experience designing, building, and optimizing scalable data pipelines within cloud-native environments.
</li></ul> 
QUALIFICATIONS 
<ul><li>
Hands-on experience with Databricks in production environment, including workspace and cluster management, jobs/workflows and integrations with orchestration tools</li><li>
Strong experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Azure DevOps, or similar) and Git-based workflows.</li><li>
Strong experience with Infrastructure as Code (IaC) and orchestration tools for provisioning and managing Databricks and cloud infrastructure.</li><li>
Experience implementing automated tests and quality gates in CI/CD pipelines.</li><li>
Ability to partner effectively with data engineers, analytics engineers, architects, and security teams.</li></ul> 

MINIMUM EXPERIENCE &amp; EDUCATION 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field preferred, or equivalent work experience.</li><li>
4&ndash;7+ years in DevOps, Cloud Engineering, Site Reliability Engineering, or Platform Engineering, with at least 2+ years supporting data/analytics platforms.</li><li>
Experience operating production data workloads, including monitoring, logging, performance tuning, and incident response.</li><li>
Scripting skills (e.g., Python, Bash, PowerShell) for automation and integration.</li><li>
Experience in CPG, retail, manufacturing, or distribution environments preferred.</li></ul> 

POSITION INFORMATION<ul><li>
This position pays $120,000-$150,000 per year based on experience and location.</li></ul> 

BENEFITS PACKAGE &amp; EMPLOYEE PROGRAMS<ul><li>
Comprehensive Medical, Dental, and Vision Insurance</li><li>
Free Life and Disability Insurance</li><li>
Health and Dependent Care Flexible Spending Accounts</li><li>
401k with 3% company match and annual employer discretionary contribution</li><li>
Paid vacation, holidays and sick time</li><li>
Employee Assistance Program</li><li>
Access to thousands of free online courses</li><li>
Discounts on cell phones, movie tickets, gym memberships, and more!</li><li>
Education Assistance (both college degrees and professional certifications)</li><li>
Referral Program with cash bonus</li><li>
Access to on-demand pay</li><li>
Paid parental leave</li></ul> 
 
Central Garden &amp; Pet Company (NASDAQ: CENT) (NASDAQ: CENTA) is a leading consumer goods company in the pet and garden industries. Guided by the belief that home is central to life, the Company's purpose is to proudly nurture happy and healthy homes. For over 45 years, its innovative and trusted solutions have helped lawns grow greener, gardens bloom bigger, pets live healthier, and communities grow stronger. Central is home to a diversified portfolio of market-leading brands including Amdro&reg;, Aqueon&reg;, Best Bully Sticks&reg;, Cadet&reg;, C&amp;S&reg;, Farnam&reg;, Ferry-Morse&reg;, Kaytee&reg;, Nylabone&reg;, Pennington&reg;, Sevin&reg; and Zoёcon&reg;. With fiscal 2025 net sales of $3.1 billion, Central has strong manufacturing and logistics capabilities supported by a passionate, entrepreneurial growth culture. The Company is headquartered in Walnut Creek, California, and employs over 6,000 people, primarily across North America. Visit www.central.com to learn more. 
 
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law. 
 
#LI-CM1</div>

<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>

Senior Data Platform 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>

Tesco Technology

<div>
 
 About the role
 
 
 
 As the Senior Data Platform
 
 Engineer in the Cyber Data Platform team, you will play a key role in building
 
 and maintaining a robust data platform that enables users to develop advanced
 
 analytics, machine learning, and GenAI solutions to strengthen our security
 
 defences. You will collaborate closely with cross functional data teams to
 
 ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also,
 
 you will contribute to the data platform architecture and mentor junior team
 
 members to deliver high-quality data services.
 
 
 
 You will be responsible for
 
 
 
 
 Data
 
 Architecture
 
 
 :
 
 
 Design, build and management
 
 of realtime, near realtime and batch data architectures that support threat
 
 detection, incident response and reporting through advanced analytics, machine
 
 learning and GenAI capabilities
 
 
 .
 
 
 
 
 Data
 
 Integration and Transformation
 
 
 : Implement and manage the automated frameworks
 
 for integrating data from various security sources into the security data lake.
 
 Also, the data transformation frameworks to move data between the raw, trusted,
 
 and curated data layers.
 
 
 
 
 
 
 
 
 Coding
 
 
 : Contribute
 
 to raising the quality bar of the team's codebase by producing high-quality
 
 code, conducting thorough peer reviews, and proactively providing constructive
 
 feedback to other team members on their code
 
 
 
 
 
 
 
 
 Automation
 
 and DevOps
 
 
 : Implement various automations and DevOps practices to
 
 streamline the deployment, configuration, and management of data platform
 
 components.
 
 
 
 
 
 
 
 
 Collaboration and
 
 Communication
 
 
 : Collaborate with teams from
 
 various departments, effectively communicating technical concepts and solutions
 
 to individuals with different levels of technical expertise.
 
 
 
 
 You will need
 
 
 
 
 Solid programming experience with programming languages
 
 like Python along with proficiency in SQL
 
 
 
 
 Experience building data platforms on cloud services like
 
 Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink
 
 etc.,
 
 
 
 
 Solid grasp of Kubernetes, CI/CD and Terraform
 
 
 
 
 Working knowledge of ETL and ELT frameworks and
 
 orchestration tools like Airflow and dbt
 
 
 
 
 Ability to provide clear input, guide, empower junior
 
 members of the team to achieve desired outcomes
 
 
 
 
 Familiarity with machine learning and AI tools is desirable
 
 
 
 Knowledge of cybersecurity principles and practices
 
 
 
 
 Whats in it for you?
 
 
 We&rsquo;re all about the little helps. That&rsquo;s why we make sure our Tesco colleague benefits package takes care of you &ndash; both in and out of work. Click Here to find out more!
 
 &nbsp;
 
 
 
 <ul>
 
 <li>
 Annual bonus scheme of up to 20% of base salary.
 </li>
 
 <li>
 Holiday starting at 25 days plus a personal day (plus Bank holidays).
 </li>
 
 <li>
 Private medical insurance.
 </li>
 
 <li>
 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
 </li>
 
 <li>
 Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
 </li>
 
 <li>
 This information is a shortened summary, refer to our policies for full details.
 </li>
 
 </ul>
 
 
 
 &nbsp;
 
 
 About Us
 
 
 You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we&rsquo;re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.&nbsp;
 
 &nbsp;
 
 At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.&nbsp;
 
 &nbsp;
 
 We're proud to be an accredited Disability Confident Leader, where everyone&rsquo;s welcome. That&rsquo;s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.&nbsp;
</div>

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