senior software engineer analytics

LimeFlight

<div>Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
<h4 class="jobSectionHeader">About the role</h4>
We are hiring a Senior Data &amp; Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data &amp; Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.
This role combines:<ul><li>
Data Engineering (pipelines, processing, customer facing exports, platform)</li><li>
Analytics Engineering (modeling, KPIs, semantic layer)</li><li>
Data Product Ownership (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader">
What You&rsquo;ll Own</h4>
Platform, Architecture &amp; Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)<ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul>
Data Modeling &amp; Semantic Layer<ul><li>
Own Power BI semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul>
Customer-Facing Analytics<ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul>
Data as Product<ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul>
Platform Quality, Operations, Security &amp; Governance<ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul>
Migration &amp; Insourcing (Initial Focus)<ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader">
What We&rsquo;re Looking For</h4>
Experience<ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul>
Technical &amp; Platform Skills<ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul>
Engineering Practices<ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul>
Nice-to-have<ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul>
Mindset<ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader">
Language</h4>
Min. English C1<h4 class="jobSectionHeader">
Expected travel needs</h4>
2 annual one-week team events<h4 class="jobSectionHeader">
Our Tech Stack</h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader">
Hiring Process</h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul> 
LimeFlight is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let&rsquo;s talk!</div>

Senior Data & Analytics Engineer (Europe, 100% remote)

Gemma Analytics

<div><h4 class="jobSectionHeader">About Gemma Analytics</h4>
Gemma Analytics helps clients to become more data-driven. As one of our AI &amp; Analytics Engineers, you sit at the intersection of data and AI. You don't just build pipelines and dashboards, you help design and deliver intelligent, agentic solutions that create real business impact for our clients. You surface insights others miss, translate complexity into clarity, and bring a builder's mindset to every engagement. 
 
This role is for someone who is equally comfortable writing a dbt model and prototyping an AI-driven workflow. You'll work hands-on with clients across startups and SMEs, supported by senior mentors in your first months, and grow into someone who shapes how we deliver the next generation of data and AI work.<h4 class="jobSectionHeader"> 
About the job</h4>
As an AI &amp; Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their data and from AI. You don't just transform raw information into reliable insights; you design and build intelligent, agentic systems that automate decisions, accelerate workflows, and unlock new possibilities for the businesses we work with. 
 
You identify patterns others miss, translate complex client challenges into practical solutions, and bring both analytical rigor and an AI-builder's mindset to every engagement. Working closely with clients, you bridge the gap between data foundations and the next generation of AI-driven applications. 
 
During your first months, you will be supported by experienced team members to ensure a smooth onboarding and a strong technical foundation across both the modern data stack and agentic AI tooling. 
 
Responsibilities:<ul><li>
As we are tooling-agnostic, you will work with multiple technologies and develop a deep understanding of what is currently possible in the data landscape 
Collaborate and connect with domain experts to solve data challenges across various industries 
Develop advanced data reporting and visualisations 
Apply data modeling methodologies and contribute to a robust data platform for our clients 
Leverage AI tools &mdash; including agentic workflows and AI coding assistants &mdash; to accelerate and enhance data work</li></ul><h4 class="jobSectionHeader">
Who you are</h4>
We believe in a strong mix of experience and growth potential in our team and we welcome applications from all backgrounds. For this mid-level role, we are looking for people with initial experience in analytics, combined with curiosity, a structured mindset, and enthusiasm for turning numbers into business insights. 
Beyond that, we are looking for:<ul><li>
Experience with SQL and relational databases</li><li>
Business Fluency (C2 or native) in German and English</li><li>
First understanding of data modeling techniques (e.g. Data Vault or Kimball's Dimensional Modelling) and data warehousing in general</li><li>
Experience with AI tools in a professional context, ideally including AI coding assistants (e.g. Claude Code) and agentic analytics workflows</li><li>
Optional: Experience with one or more programming languages (Python preferred)</li><li>
Optional: Experience in stakeholder and/or client management</li></ul><h4 class="jobSectionHeader"> 
Gemma Perks</h4>
We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include<ul><li>
We have an honest, inclusive work environment and want to nurture this environment</li><li>
We have frequent team events in Berlin: our cultural base</li><li>
We encourage workations and even do workations as a company - it is up to you to come to the office between two and five days a week</li><li>
We don&rsquo;t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective</li><li>
We will surround you with great people who love to solve (mostly data) riddles</li><li>
We believe in efficient working hours rather than long working hours - we focus on the output rather than the input</li><li>
We learn and share during meetups, lunch &amp; learn sessions and are open for further initiatives</li><li>
We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees</li><li>
We are fast-growing, have technology at our core, yet we do not rely on a VC and operate profitably</li><li>
We have a great yearly offsite event that brings us all together for a full week, enjoying good food, having a good time, and of course, solving complex data-related tasks solving complex data-related tasks</li></ul><h4 class="jobSectionHeader"> 
How you'll get here</h4><ul><li>
CV Screening</li><li>
Initial Conversation</li><li>
Hiring Test @home</li><li>
Interviews with 2-3 future colleagues</li><li>
Reference calls</li><li>
Offer + Hired</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.</div>

AI & Analytics Engineer

Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience. 
We are proud to be a Unicorn company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</div>
As a Staff Engineer in our Data &amp; Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.
<h2 class="jobSectionHeader">
Our environment</h2>
<ul><li>Work alongside skilled, data-passionate engineers in a team that values collaboration</li>
<li>A flexible, agile environment with a strong focus on work-life balance</li>
<li>You will have real ownership and influence over data architecture</li>
<li>We are building toward a distributed, self-service data platform model &ndash; you will help shape how that evolves.</li>
<li>Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.</li>
</ul><h2 class="jobSectionHeader">What you'll be doing</h2>
<ul><li>Drive the technical direction of our data platform &ndash; leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders</li>
<li>Support and develop a team of 4&ndash;5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.</li>
<li>Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance &ndash; building a solid base for AI and analytics features</li>
<li>Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing</li>
<li>Apply and advance strong data modeling practices across the platform.</li>
<li>Prioritize and mediate effectively with product stakeholders &ndash; advocating for the right technical decisions and sequencing of work</li>
<li>Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership</li>
<li>Collaborate across the broader staff engineering community on cross-cutting architectural decisions</li>
</ul><h2 class="jobSectionHeader">What you need to be successful</h2>
<ul><li>Proven experience at Staff Engineer level or equivalent in a data engineering context</li>
<li>Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.</li>
<li>Experience with streaming technologies (e.g. Kafka) &ndash; hands-on exposure is a strong plus</li>
<li>Solid data modeling skills and the ability to raise this as a team-wide standard.</li>
<li>Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.</li>
<li>Python proficiency and comfortable working across a modern data stack</li>
<li>Strong stakeholder management and communication skills &ndash; you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams</li>
<li>A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.</li>
<li>Leadership experience or ambition: you are comfortable guiding engineers and driving delivery</li>
</ul><h2 class="jobSectionHeader">Nice to have</h2>
<ul><li>Experience with data governance for AI agents &ndash; understanding guardrails, access control, and safety considerations for agentic analytics.</li>
<li>Prior exposure to self-service data platform models and distributed data ownership strategies.</li>
<li>Experience in a product-led SaaS environment.</li>
</ul>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Staff Engineer, Data & Analytics

Project Q

<div>
 
 New Challenge
 
 
 
 
 Job Advertisement: Software Product Engineer
 
 
 (m/f/d)
 
 
 
 Location: Berlin, Munich, Remote (Germany, EU)
 
 
 Working Hours: Full-time
 
 
 Start Date: Immediately or by arrangement
 
 
 
 About Us
 
 
 
 Project Q GmbH ("Q") is a Germany-based DefenceTech company with offices in Berlin and Munich. We network market-available sensors into a tactical IoT backbone that reliably provides armed forces and security agencies with a cross-domain information superiority--automated, scalable, and cost-efficient.
 
 
 Our solutions integrate seamlessly into existing defence and safety infrastructures, offering fast data fusion and AI-enhanced analytics to deliver robust situational awareness in dynamic environments. We build platform-agnostic systems that enable real interoperability across domains.
 
 
 As a Software Product Engineer, you'll join a focused, deeply skilled team to help build and extend our European open-core integration infrastructure. This includes Hydris: our integrate once, deploy everywhere, open source orchestration plane. Hydris, and its growing ecosystem of partner integrations, are where heterogeneous real-world systems like radars, AIS receivers, mesh radios, satellite feeds, AI analytics, and C2 platforms become one coherent picture, in conditions that are bandwidth-constrained, intermittently connected, and unforgiving.
 
 
 
 What You'll Do
 
 
 
 This role is broad by design. You'll be trusted to take problems end to end: talk to users, shape what gets built, write the code, ship it, see how it performs, and decide what comes next. Day to day that means core engine work on Hydris in Go and TypeScript, extending it with features that genuinely move the field, and helping grow the ecosystem of certified integrations. It also means collaborating across our tech org and helping build and extend our integrated, software-defined customer solutions. And it means setting technical standards: how we test distributed behavior, how we version protocols, and how we keep an API-first product backward compatible.
 
 
 
 Who This Is For
 
 
 
 You build software systems. You've shipped real products that people rely on, and you can show them to us. You care about building the right thing the right way, and about seeing it through. You want to travel when needed or possible, to be with the user, to understand their needs, and build directly to those. And you do your best work where the decisions are meaningful and the problems are challenging. This is a role that will demand the excellence you challenge others to show in their own work and conduct.
 
 
 
 How You Work
 
 
 
 <ul>
 <li>
 Self-starting. You don't wait for a perfectly scoped task; your default is to try something and learn from it.
 </li>
 <li>
 Deeply curious. You'll go down the rabbit hole and come back with something the rest of us didn't know we needed.
 </li>
 <li>
 Builder first. You'd often rather have a rough thing in someone's hands this week than a perfect plan for next quarter.
 </li>
 <li>
 Standard-setting. You join a team to raise its bar. People tend to work a little differently because you're in the room.
 
 
 </li>
 </ul>
 
 You should apply if you have
 
 
 
 <ul>
 <li>
 Taken new products from concept to scaling in-market, and lived with the weight of users, edge cases, and keeping it healthy under load.
 </li>
 <li>
 Worked across the full surface: product sense, design instinct, full-stack, deployments, the documentation that empowers other developers, and the long-term maintenance of what you build.
 </li>
 <li>
 Made calls under uncertainty with incomplete information, and owned the outcomes, good and bad.
 </li>
 <li>
 Earned the respect of engineers you respect. The best people you've worked with would take your call.
 </li>
 <li>
 Built a deep, principled, and broadly applicable skill set through substantial work and study.
 </li>
 <li>
 Eligibility to obtain a security clearance.
 </li>
 <li>
 Comfort working confidently in English.
 
 
 </li>
 </ul>
 
 You'd be a great fit with
 
 
 
 <ul>
 <li>
 Experience building secure systems for adversarial or contested environments, including threat modelling, secure-by-design practices, and hardening against real attackers.
 </li>
 <li>
 Experience with geospatial systems, sensor fusion, AI/ML analytics, or track management.
 </li>
 <li>
 Familiarity with defence or ISR data standards like CoT/TAK, ASTERIX, SAPIENT, MIL-STD-2525.
 </li>
 <li>
 Background in networking, mesh architectures, IoT integration, or systems built for contested or degraded communication environments.
 </li>
 <li>
 Experience on developer-facing open-source infrastructure where adoption depends on the quality of the API and documentation.
 </li>
 <li>
 Professional proficiency in German (and extra bonus points for additional European languages).
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 <ul>
 <li>
 Be a part of our growth story and help build us a leading technology company.
 </li>
 <li>
 A varied and responsible role in a dynamic company.
 </li>
 <li>
 Flat hierarchies and a pleasant working environment.
 </li>
 <li>
 Opportunities for professional and personal development.
 </li>
 <li>
 Flexible working hours and remote work options.
 </li>
 <li>
 Attractive salary and additional benefits.
 
 
 </li>
 </ul>
 Have we sparked your interest? Then we look forward to receiving your CV, including your earliest possible start date, at HR [at] project-q.ai. We look forward to meeting you!
 
 
 
 About Us
 
 
 
 Q is a European defence-tech company pioneering the Internet of Defence with modular, scalable and interoperable sensor and intelligence solutions.
</div>

Software Product Engineer (m/f/d)

<div><h4 class="jobSectionHeader">New Challenge</h4>
Job Advertisement: Software Product Engineer (m/f/d)
Location: Berlin, Munich, Remote (Germany, EU) 
Working Hours: Full-time 
Start Date: Immediately or by arrangement
About Us
Project Q GmbH (&quot;Q&quot;) is a Germany-based DefenceTech company with offices in Berlin and Munich. We network market-available sensors into a tactical IoT backbone that reliably provides armed forces and security agencies with a cross-domain information superiority-automated, scalable, and cost-efficient.
Our solutions integrate seamlessly into existing defence and safety infrastructures, offering fast data fusion and AI-enhanced analytics to deliver robust situational awareness in dynamic environments. We build platform-agnostic systems that enable real interoperability across domains.
As a Software Product Engineer, you'll join a focused, deeply skilled team to help build and extend our European open-core integration infrastructure. This includes Hydris: our integrate once, deploy everywhere, open source orchestration plane. Hydris, and its growing ecosystem of partner integrations, are where heterogeneous real-world systems like radars, AIS receivers, mesh radios, satellite feeds, AI analytics, and C2 platforms become one coherent picture, in conditions that are bandwidth-constrained, intermittently connected, and unforgiving.
What you'll do
This role is broad by design. You'll be trusted to take problems end to end: talk to users, shape what gets built, write the code, ship it, see how it performs, and decide what comes next. Day to day that means core engine work on Hydris in Go and TypeScript, extending it with features that genuinely move the field, and helping grow the ecosystem of certified integrations. It also means collaborating across our tech org and helping build and extend our integrated, software-defined customer solutions. And it means setting technical standards: how we test distributed behavior, how we version protocols, and how we keep an API-first product backward compatible.
Who this is for
You build software systems. You've shipped real products that people rely on, and you can show them to us. You care about building the right thing the right way, and about seeing it through. You want to travel when needed or possible, to be with the user, to understand their needs, and build directly to those. And you do your best work where the decisions are meaningful and the problems are challenging. This is a role that will demand the excellence you challenge others to show in their own work and conduct.
How you work<ul><li>
Self-starting. You don't wait for a perfectly scoped task; your default is to try something and learn from it.</li><li>
Deeply curious. You'll go down the rabbit hole and come back with something the rest of us didn't know we needed.</li><li>
Builder first. You'd often rather have a rough thing in someone's hands this week than a perfect plan for next quarter.</li><li>
Standard-setting. You join a team to raise its bar. People tend to work a little differently because you're in the room.</li></ul>
You should apply if you have<ul><li>
Taken new products from concept to scaling in-market, and lived with the weight of users, edge cases, and keeping it healthy under load.</li><li>
Worked across the full surface: product sense, design instinct, full-stack, deployments, the documentation that empowers other developers, and the long-term maintenance of what you build.</li><li>
Made calls under uncertainty with incomplete information, and owned the outcomes, good and bad.</li><li>
Earned the respect of engineers you respect. The best people you've worked with would take your call.</li><li>
Built a deep, principled, and broadly applicable skill set through substantial work and study.</li><li>
Eligibility to obtain a security clearance.</li><li>
Comfort working confidently in English.</li></ul>
You'd be a great fit with<ul><li>
Experience building secure systems for adversarial or contested environments, including threat modelling, secure-by-design practices, and hardening against real attackers.</li><li>
Experience with geospatial systems, sensor fusion, AI/ML analytics, or track management.</li><li>
Familiarity with defence or ISR data standards like CoT/TAK, ASTERIX, SAPIENT, MIL-STD-2525.</li><li>
Background in networking, mesh architectures, IoT integration, or systems built for contested or degraded communication environments.</li><li>
Experience on developer-facing open-source infrastructure where adoption depends on the quality of the API and documentation.</li><li>
Professional proficiency in German (and extra bonus points for additional European languages).</li></ul>
We Offer<ul><li>
Be a part of our growth story and help build us a leading technology company.</li><li>
A varied and responsible role in a dynamic company.</li><li>
Flat hierarchies and a pleasant working environment.</li><li>
Opportunities for professional and personal development.</li><li>
Flexible working hours and remote work options.</li><li>
Attractive salary and additional benefits.</li></ul>
Have we sparked your interest? Then we look forward to receiving your CV, including your earliest possible start date, at HR [at] project-q.ai. We look forward to meeting you!<h4 class="jobSectionHeader">
About us</h4>
Q is a European defence-tech company pioneering the Internet of Defence with modular, scalable and interoperable sensor and intelligence solutions.</div>

ALMETRA

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

FUNKE Mediengruppe

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FUNKE gehört zu den führenden Arbeitgebern der Medienbranche. Von Online-Portalen über Zeitungen und Zeitschriften bis hin zu Radio und Podcast – die Vielfalt unserer Titel, Marken und Genres ist einzigartig in der deutschen Medienlandschaft. Genauso vielfältig sind auch die Talente unserer rund 1.700 Journalist*innen und 2.800 Medienmacher*innen, die jeden Tag in ganz Deutschland mit Leidenschaft und Innovationskraft die Zukunft der Medien mitgestalten. #wirsindFUNKE
 
Standort: 
Berlin, DE Hamburg, DE
 
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Als Analytics Engineer (m/w/d) trägst Du maßgeblich zur Gestaltung unserer datengetriebenen Projekte bei und spielst eine Schlüsselrolle in unserem Team. Zur Verstärkung unseres Teams in Berlin oder Hamburg suchen wir Dich als
 
Analytics Engineer (m/w/d)
 DEINE AUFGABEN
 Als Mitglied des Data Subscription Teams bist Du verantwortlich für alles rund um das Thema Analytics Engineering: Transformation von Rohdaten zur Nutzung im Reporting und der Marketing Automation für unser Zeitungsgeschäft digital und traditionell
 Du arbeitest eng mit den Data Analysts/Scientists/Engineers Deines Teams zusammen und bringst Deine Expertise und kreativen Lösungen ein, um datenbasierte Optimierungsstrategien zu entwickeln
 Nach Deiner Einarbeitung wirst Du verantwortlich für zwei Topics und trägst damit entscheidend zu unserem Geschäftserfolg bei
 Du entwickelst und implementierst eigenständig Data Pipelines in der Google Cloud Platform und nutzt dbt, SQL, Github und andere Tools
 Als Expert*in im Datawarehouse kümmerst Du Dich auch um die Datenpflege, die Struktur der Datenmodelle sowie um die Kostenoptimierungen
 DEIN PROFIL
 Du hast eine Leidenschaft für Daten und Interesse am Vertriebsgeschäft regionaler Tageszeitungen
 Du besitzt Erfahrung als Analytics Engineer/Data Analyst sowie fortgeschrittene Kenntnisse in SQL und bringst idealerweise Kenntnisse in Python oder weiteren Programmiersprachen mit
 Deine Begeisterung für technische Innovationen und Deine ausgeprägte Fähigkeit, Dich zügig und effektiv in neue technologische Systeme und Tools einzuarbeiten, sind wesentliche Stärken, die Du in unser Team einbringst
 Auf Dich kann man sich verlassen, Du übernimmst gerne Verantwortung und Ownership ist für Dich nicht nur eine Floskel
 Du bringst neben fließendem Deutsch auch Offenheit, Kommunikationsstärke und Teamfähigkeit mit
 Eine sorgfältige Arbeitsweise und hohe Eigenmotivation runden Dein Profil ab
 DEINE BENEFITS
 Innovation trifft Tradition: Du gestaltest die digitale Transformation unserer Mediengruppe mit
 Entwickle Dich mit uns: Wir ermöglichen Dir die Teilnahme an individuellen Coachings, Workshops oder (Online)-Trainings im Rahmen unserer FUNKE Akademie
 Flexibel arbeiten: Wir leben ein hybrides Arbeitsmodell, weil uns Deine Work-Life-Balance wichtig ist
 Teamwork: Dich erwarten ein dynamisches Team, eine offene Feedbackkultur, kurze Kommunikationswege und ein herzliches Miteinander
 Corporate Benefits: Wir bieten Dir ein Benefit-Portal mit attraktiven Rabatten und Abos
 Halte Dich fit und gesund: Profitiere von unseren Kooperationen mit verschiedensten Fitnessstudios und lasse Dich für Deine mentale und körperliche Gesundheit individuell beraten
 
Haben wir Dein Interesse geweckt? Dann gestalte mit uns die Zukunft und sende uns Deine Bewerbung an Steffen Flach.
 
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Wir bei FUNKE schätzen Vielfalt und begrüßen daher alle Bewerbungen – unabhängig von Geschlecht / geschlechtlicher Identität, Nationalität, ethnischer oder sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung.

Analytics Engineer (m/w/d)

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