The role: What's in the Box

As search behavior evolves across Google, AI Overviews, ChatGPT, Perplexity, Reddit, and other discovery surfaces, our SEO team is expanding its focus from traditional organic search to broader Organic Discovery: building the technical, content, and measurement foundations that help customers find us wherever dinner decisions are made.

As part of this team you’ll strengthen the technical SEO foundation across high-impact surfaces such as recipe pages, collections, and editorial content, as well as new AI/GEO discovery formats.

Since this isn’t a purely advisory role you’ll also diagnose complex SEO issues, translate them into scalable product and engineering requirements, partner closely with developers and product managers, and measure the impact of technical and programmatic SEO improvements across international markets.

What you’ll do: The Recipe

• Owning the technical SEO strategy across HelloFresh Group websites, focused on crawlability, indexation, site architecture, structured data, internal linking, and international SEO.
• Leading technical audits and turning findings into prioritized roadmaps.
• Partnering with Product and Engineering teams to define SEO requirements for templates, migrations, content systems, automation, and sitewide technical changes.
• Controlling international SEO workstreams including hreflang, canonicals, URL structure, duplicate content, and multilingual/multi-market visibility.
• Building scalable SEO QA processes for launches, including pre-launch validation, post-launch monitoring, crawl checks, and structured data checks.
• Driving programmatic SEO and automation initiatives, including XML sitemaps, internal linking logic, page creation workflows, and publishing guardrails.
• Using SEO, analytics, crawl, ranking, and internal data to diagnose issues, identify opportunities, and measure impact.
• Communicating technical SEO priorities clearly to senior stakeholders, connecting recommendations to traffic, conversion, crawl efficiency, and AI/GEO visibility.

What you’ll bring: The Ingredients 

• 5-7+ years of SEO experience, with strong hands-on technical SEO ownership for large-scale websites as well as experience in working on international or multi-market websites with complex language, country, domain, or subdirectory structures.
• Deep knowledge of crawlability, indexation, canonicals, hreflang, redirects, structured data, XML sitemaps, internal linking, JavaScript rendering, Core Web Vitals, and site architecture.
• Ability to work with Product and Engineering teams, write clear SEO requirements, influence prioritization, and validate implementation.
• Advanced analytical skills using tools like Google Search Console, Screaming Frog, Ahrefs, STAT, GA4, BigQuery, Looker, or similar platforms.
• Comfortable reading HTML, CSS, JavaScript, structured data, and server responses; Python, SQL, JavaScript, or Google Apps Script proficiency is a plus.
• Strong communication skills and the ability to explain technical SEO issues clearly to non-SEO stakeholders, also outstanding organizational skills, and comfort in operating across multiple brands, markets, and teams.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you the missing ingredient?

If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#JD1002

WPP steht für kreative Transformation. Mit der Kraft von Kreativität gestalten wir eine bessere Zukunft für unsere Mitarbeitenden, unsere Kunden, unsere Gemeinschaften und unseren Planeten. Genau hier setzt WPP Media an: Als globales Mediennetzwerk von WPP vereinen wir die besten Plattformen, Talente und Partner, um in einer vernetzten Medienwelt neue Chancen für grenzenloses Wachstum zu schaffen.

Das bieten wir dir:

• Work-Life-Balance: Mit unseren flexiblen Arbeitszeiten & Remote Work gestaltest du deinen Alltag so, wie er zu dir passt. Außerdem kannst du Überstunden ausgleichen.
• Vacation mode on: Du erhältst 30 Urlaubstage plus einen flexiblen Tag – zusätzlich sind der 24. und 31.12. frei.
• Wellbeing first: Gesundheitsleistungen, attraktive Altersvorsorge sowie Mental Health Awareness Days stellen deine Gesundheit in den Mittelpunkt.
• Practice makes perfect: Entfalte dich mit unseren vielfältigen Weiterbildungen und nutze unsere internen Karriereprogramme für deine Entwicklung im WPP-Netzwerk.
• More than just a job: Dich erwarten unvergessliche Events, Mitarbeitendenrabatte und weitere Highlights wie das Job Ticket, Wellhub oder das Job Bike.
• Be yourself: Bei uns ist jede:r herzlich willkommen - Vielfalt und Chancengleichheit liegen uns am Herzen.

Das bewegst du:

Als Associate Director Data Science (Mensch) gestaltest du nicht nur die Zukunft unserer datengestützten Lösungen, sondern führst und entwickelst auch ein hochqualifiziertes Team von Data Scientists. Du bist die treibende Kraft hinter unserer Innovationsagenda und stellst sicher, dass wir durch datengetriebene Ansätze den maximalen Wert für unsere Kunden generieren und unsere Marktposition weiter ausbauen.

• Team Leadership & Entwicklung: Du führst, motivierst und entwickelst ein Team von Data Scientists und förderst eine kollaborative sowie leistungsstarke Teamkultur.
• Stakeholder Management & Beratung: Als zentraler Ansprechpartner für interne Fachbereiche sowie für Top-Kunden übersetzt du komplexe datenwissenschaftliche Erkenntnisse in klare, handlungsrelevante Empfehlungen.
• Projekt- & Portfolio-Management: Du überwachst das Projektportfolio deines Teams, stellst die Einhaltung von Zeitplänen sowie Budgets sicher und priorisierst Initiativen auf Basis ihres geschäftlichen Impacts.
• Innovation & Forschung: Aktiv beobachtest du Markttrends und wissenschaftliche Entwicklungen im Data-Science-Bereich und treibst den Transfer von Forschungsergebnissen in die Praxis voran.
• Qualitätssicherung & Governance: Die Etablierung und Überwachung von Qualitätsstandards für unsere Data-Science-Projekte gehören ebenso zu deinen Aufgaben wie die Sicherstellung der Einhaltung relevanter Daten-Governance-Richtlinien.
• Strategische Ausrichtung: Als treibende Kraft unserer Innovationsagenda stellst du sicher, dass wir durch datengetriebene Ansätze den maximalen Wert für unsere Kunden generieren und unsere Marktposition weiter ausbauen.

Das zeichnet dich aus:

• Umfassende Erfahrung: Du bringst mindestens 5+ Jahre Berufserfahrung im Bereich Data Science mit, davon mindestens 2-3 Jahre in einer leitenden Position mit Personalverantwortung.
• Exzellente Fachkenntnisse: Deine Expertise in Python (Pandas, Scikit-learn, TensorFlow/PyTorch), SQL sowie in der Entwicklung und Implementierung von Machine Learning Modellen ist fundiert und praktisch erprobt.
• Cloud-Expertise: Du verfügst über nachweisliche Erfahrung mit Cloud Computing Plattformen, idealerweise Google Cloud Platform (GCP), inklusive ML-Services und Data Warehousing (z.B. BigQuery).
• Führungskompetenz: Ausgeprägte Führungsqualitäten mit der Fähigkeit, Teams zu motivieren, zu coachen und zu Höchstleistungen zu entwickeln, zeichnen dich aus.
• Kommunikations- & Präsentationsstärke: Deine exzellenten Kommunikationsfähigkeiten ermöglichen dir sowohl die Präsentation komplexer Modelle vor technischen Teams als auch die strategische Beratung von Führungskräften und Kunden.
• Strategisches Denken & Geschäftssinn: Die Fähigkeit, komplexe geschäftliche Herausforderungen zu verstehen und datengetriebene Lösungen zu entwickeln, die einen messbaren Mehrwert schaffen, rundet dein Profil ab.

Darüber hinaus bist du: #selbständig #teamfähig #lösungsorientiert

Wenn du diesen Job spannend findest, dann ermutigen wir dich ausdrücklich zur Bewerbung, auch wenn du nicht jede oben gelistete Qualifikation aufweisen kannst.

Arbeiten bei WPP Media:

Als WPP Media gestalten wir die Zukunft der Medien und investieren dabei konsequent in unsere Mitarbeiter:innen. Jede:r Kolleg:in genießt die Vorteile des globalen Netzwerks von WPP Media und WPP, um sich weiterzuentwickeln und an der Spitze von Marketing und Werbung zu lernen. Vielfalt und Zusammenhalt leben wir durch zahlreiche Employee Resource Groups und regelmäßige interne Events - zum Austausch, zur Inspiration und zum gemeinsamen Feiern unserer Erfolge.
 
WPP Media ist ein Arbeitgeber, der Chancengleichheit fördert. Wir berücksichtigen alle Bewerber:innen für alle Positionen ohne Diskriminierung. Unser Ziel ist eine Kultur des Respekts und der Zugehörigkeit, in der jede:r die gleichen Möglichkeiten hat, sich einzubringen und beruflich zu wachsen.

Bitte lies unsere Datenschutzerklärung für Deutschland, Österreich und die Schweiz, um weitere Informationen darüber zu erhalten, wie wir die von dir bereitgestellten Daten verarbeiten. 

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

About Upsun (formerly Platform.sh) 

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Impact of an Analytics Engineer

Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.

What to expect

• Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
• Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
• Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
• Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
• Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
• Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.

What you bring

• SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
• Python Familiarity: You are comfortable with Python development for data-related tasks.
• Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
• ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
• Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
• Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
• Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
• Version Control: You have prior experience using Git to manage your code and collaborate with others.
• Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.

Bonus

• Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
• Prior experience working with FinOps principles or FOCUS data models.
• Broader experience with various cloud infrastructure and service offerings.

Where we hire

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

How we hire

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
3. 60 Minutes with Team (ICs)
4. 45 Minutes with Executive (CFO)

All roles require background checks.

What we offer

💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.

🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.

🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.

🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives

🎉 Benefits and perks - Make the most of what matters to you

🏝 Flexible PTO

🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain)

📈 Company stock options

🧠 Professional development budget

💻 Office equipment budget

💆‍♀️ Wellness budget

🧳 Annual team gatherings

🛜 Internet reimbursement

👶 Inclusive parental leave

✈️ Remote work travel program

You belong here

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.

About Upsun (formerly Platform.sh) 

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Impact of an Analytics Engineer

Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.

What to expect

• Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
• Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
• Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
• Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
• Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
• Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.

What you bring

• SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
• Python Familiarity: You are comfortable with Python development for data-related tasks.
• Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
• ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
• Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
• Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
• Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
• Version Control: You have prior experience using Git to manage your code and collaborate with others.
• Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.

Bonus

• Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
• Prior experience working with FinOps principles or FOCUS data models.
• Broader experience with various cloud infrastructure and service offerings.

Where we hire

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

How we hire

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
3. 60 Minutes with Team (ICs)
4. 45 Minutes with Executive (CFO)

All roles require background checks.

What we offer

💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.

🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.

🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.

🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives

🎉 Benefits and perks - Make the most of what matters to you

🏝 Flexible PTO

🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain)

📈 Company stock options

🧠 Professional development budget

💻 Office equipment budget

💆‍♀️ Wellness budget

🧳 Annual team gatherings

🛜 Internet reimbursement

👶 Inclusive parental leave

✈️ Remote work travel program

You belong here

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Business Analyst Intern who will serve as an essential analytical and operational resource for the EMEA Segment team. You are a bridge-builder who enjoys connecting Sales strategy with Solutions Engineering technicality. If you love deep-diving into data, leveraging AI to automate workflows, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Business Analyst Intern, your key area of responsibility will be collaborating with the EMEA Segment team to develop data-driven reports and conduct in-depth market research. Your day-to-day will include: extracting and cleaning data from complex sources like BigQuery, building actionable dashboards, and providing capacity support to the Solutions Engineering team on high-value projects.

To be successful in this role, you must be a proactive problem-solver who can leverage emerging technologies—including Generative AI and agentic workflows—to uncover commercial insights. You will need to manage multiple priorities and communicate complex findings to non-technical stakeholders with clarity and precision.

The opportunity:

• 8 - 12 month work-term.
• Full-time, paid internship: Monday - Friday..
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation.

How you'll make an impact:

• Develop and maintain routine and ad-hoc reports using SQL and BigQuery.
• Create dashboards in Google Sheets, Excel, Power BI, or Tableau to track KPIs like pipeline and MRR.
• Conduct market sizing (TAM, SAM, SOM) and monitor competitor trends and regulations in the EMEA region.
• Assist in leveraging AI/ML tools to enhance reporting accuracy and automate manual processes.
• Provide dedicated analytical overflow support for the Solutions Engineering team.
• Prepare documentation and presentations that translate complex data into strategic recommendations.

What you'll bring to the role:

AutoScout24 is on a mission to revolutionize how marketing decisions are driven through data and analytics. We are seeking an experienced and motivated Marketing Data Analyst (m/f/d) to take ownership of our marketing analytics framework and help us make data-informed decisions to optimize efficiency and ROI of our multi-channel marketing funnel. This role is perfect for someone who combines strong technical skills with sharp business judgment - and who thrives working close to top management on high-impact, complex analyses. 

Our team treats AI as a core working principle. We actively integrate AI tools into our day-to-day workflows to raise the speed, quality, and depth of our analytics work — and we expect this mindset from everyone who joins us. 

What you will do 

• Design and implement scalable data models and pipelines within our Data Lake, to integrate and manage marketing data across channels. 

• Build and maintain engaging dashboards to monitor demand, user acquisition and marketing efficiency, following best practices in data visualization to deliver clear and actionable insights. 

• Empower marketing teams with self-service analytics by curating reliable data sources and building automated, scalable data solutions that enable independent, data-driven decision-making. 

• Work closely with online, app, and offline marketing teams to deliver insights and recommendations that optimize multi-channel efforts, media planning, budget allocation, and user acquisition. 

• Partner with fellow analysts to evaluate performance across key platforms — including Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo — and translate findings into strategy. 

• Lead exploratory analytics projects — including new KPI development, A/B testing, incrementality studies, offline measurement, and attribution modelling — to address evolving business challenges. 

• Contribute technical expertise and business judgment to deep-dive analyses and reports for senior and top management, and lead multi-disciplinary projects end-to-end, managing timelines and stakeholder communication. 

• Leverage AI tools and automation to increase the efficiency, quality, and scale of analytical work — from data preparation and insight generation to reporting and stakeholder communication. 

What you will bring 

• 4+ years of experience in marketing analytics, ideally in online marketplaces, B2C or B2B environments, with a strong grasp of online and app marketing, campaign optimization, and budget allocation. 

• Proficiency in SQL and hands-on experience building data pipelines and ELT workflows using tools like Airflow and dbt, with familiarity across cloud platforms such as BigQuery, Redshift, or Snowflake. 

• Strong experience with BI and dashboarding tools (Tableau, QuickSight, PowerBI, or similar) and a solid understanding of data visualization best practices. 

• Deep understanding of Google Analytics, MMPs (Adjust, AppsFlyer), and major ad platforms (Google, Meta, Criteo), including tracking systems and reporting structures. 

• Proven ability to translate complex data into clear, actionable recommendations for both technical and non-technical audiences, including C-level stakeholders. 

• Outstanding attention to detail and a strong analytical mindset, with a grasp of statistical concepts to deliver effective and pragmatic solutions. 

• A proven track record of proactively and independently leading cross-functional analytics initiatives in a collaborative, multi-level organization. 

• A proactive approach to integrating AI tools into analytical workflows — with genuine curiosity about how AI can improve the speed and quality of data work. 

• Excellent verbal and written English skills. 

Nice to have 

Experience with web/app marketing attribution, budget planning, or forecasting models · Amazon QuickSight · Google Search Console · Google Tag Manager  

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. 

As Principal Analytics Engineer, you will define and drive the architecture, modeling standards and core analytical foundations that power enterprise-wide insights and AI-driven analytics. You will enable scalable data models, aligned KPIs, and intelligent analytical experiences that accelerate decision-making across AutoScout24.

WHAT YOU’LL DO 

• Define and evolve the architecture for enterprise analytical models with a strong focus on scalability, clarity and long-term robustness 

• Design and maintain advanced semantic layers to unify KPIs and analytical logic across business domains 

• Set technical direction, align stakeholders and drive adoption of modern modeling practices across the organisation 

• Lead the definition and implementation of AI-driven analytical capabilities, including text-to-SQL, automated insights, semantic modeling for AI and conversational analytical interfaces 

• Develop modeling patterns, documentation standards and workflows that improve analytical efficiency and usability 

• Partner with data platform, engineering and analytics teams to deliver high-performance pipelines from ingestion to consumption 

• Optimise AWS cloud-native services (Glue, Athena, S3, MWAA) to support scalable analytical and AI workloads 

• Continuously improve modeling patterns, performance and development processes to raise overall technical maturity 

• Mentor analytics engineers and analysts to strengthen modeling skills and consistent technical standards 

• Deliver high-quality semantic assets that fuel self-service analytics, reporting and AI-powered insights 

YOU COME WITH 

• 7+ years in advanced Analytics Engineering or Data Engineering roles, with deep experience building and scaling enterprise analytical models 

• Strong ability to influence technical and business stakeholders and drive architectural alignment 

• Proven leadership across complex data initiatives, with a proactive, collaborative and solution-driven mindset 

• Demonstrated experience in AI-driven analytics, including text-to-SQL, automated insights, semantic modeling for AI and conversational BI 

• Extensive hands-on expertise with AWS (Glue, Athena, S3, MWAA) and familiarity with BigQuery 

• Expert-level Python and PySpark skills for large-scale analytical processing 

• Expert-level SQL and mastery of dimensional modeling techniques 

• Strong understanding of data privacy, security and compliance in analytical system design 

• Proven ability to optimise large datasets, improve performance and troubleshoot complex system behaviours 

A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.    

For a career where you can drive our business and shape your future, apply now. 

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Germany, the compensation range for this role is EUR 85,000 - EUR 102,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. 

If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other.

Please note that candidates must be located in Germany and have a valid work permit to be considered.  This is a German based role for native German speakers (and English C1).  

What You’ll Do

• Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
• Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data

What You’ll Need

Must-Haves:

• Excellent SQL fluency
• Strong ETL proficiency using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Passion for delivering compelling solutions that exceed client expectations
• Excellent verbal and written communication
• Strong problem-solving skills
• Business acumen
• A thirst to learn
• Adaptability and flexibility in changing situations
• Strong written and oral communication skills, able to communicate at English and German proficiency at C1 level

What We’d Like You to Have

• Experience with software engineering practices
• Experience with modern data-engineering practices and frameworks
• Experience with integration from semi-structured file and API sources
• Matillion, Fivetran, dbt or other ETL tools
• AWS / Microsoft Azure cloud exposure
• Snowflake / Databricks / Amazon Redshift / Google BigQuery / Azure Synapse

What We Offer

• Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location 
• You want to keep your carbon footprint small? So do we! That's why every employee in Germany gets a Bahncard 50
• We want you to stay healthy, which is why our employees can enjoy a Wellness Benefit worth €1100 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
• Windows or Mac? 13 inch or 15 inch? Lightweight or heavy-duty? You know what works best for you. Therefore our employees have a wide choice of equipment for their home office, as well as a contribution towards standing desk equipment
• Tech Allowance. To help create the right home environment for you to be comfortable and efficient while working, we offer a Tech Allowance to cover accessories and furniture.
• We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues’ individual charitable passions with dedicated time off for volunteering
• Competitive salaries with room for advancement. Expected Salary range: €60-100K

About Us: 

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests.

Responsibilities:

• Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment.
• AI-Powered Insights (Test & Production):  Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends.
• Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities.
• Unified Data Intelligence:  Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience.
• Automated Failure Analysis & Remediation:  Architect AI models and systems that can automatically identify failures in test runs, diagnose root causes, and suggest potential fixes or optimizations.
• AI-Assisted Test Case Generation:  Design AI-driven capabilities to assist in the intelligent generation of test cases, improving test coverage and efficiency.
• Leverage Cloud AI Platforms:  Work extensively with Google Cloud Platform (GCP) services, specifically focusing on leveraging and integrating with our self-hosted versions of Gemini Flash models for text generation and understanding.
• Data Strategy & Pipeline:  Collaborate with data engineering teams to define and optimize data pipelines, ensuring efficient data flow from sources (Snowflake, with an eye towards Google BigQuery) to AI models.

Enhance Delivery Process: Help identify the areas of opportunity for delivery process improvements through AI tools and validate the feasibility.

• Technical Leadership:  Provide technical leadership and mentorship to engineering teams, guiding them in the implementation and deployment of AI/ML solutions. Take part in AI governance projects.
• Research & Innovation:  Stay abreast of the latest advancements in AI/ML, evaluating new technologies and methodologies to continuously enhance our product offerings.
• Cross-Functional Collaboration:  Work closely with product management, engineering teams, and senior leadership to translate business requirements into technical AI solutions and roadmaps.

Required Skills:

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+  years of experience in software development and architecture of production-grade systems.

• Extensive AI/ML Architecture Experience:  Proven experience in designing, building, and deploying large-scale AI/ML systems and platforms in a production environment.
• Cloud Expertise (GCP Preferred):  Deep hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow).
• Generative AI Experience:  Practical experience with large language models (LLMs), particularly with models like Gemini Flash, and understanding of their deployment and fine-tuning (especially with regard to prompt engineering, agent orchestration, context windows management and output validation)
• Big Data & Analytics:  Strong background in working with large datasets, data warehousing (Snowflake, BigQuery), and analytics platforms.
• Software Engineering Foundation:  Solid understanding of software development best practices, scalable system design, and microservices architectures.
• Problem-Solving & Innovation:  Exceptional analytical skills with a track record of solving complex, ambiguous problems using AI/ML techniques.
• Leadership & Communication:  Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including senior leadership.
• Hands-on Capability:  While an architectural role, a willingness to be hands-on with prototyping, proof-of-concepts, and guiding implementation.
• Domain Knowledge (Highly Desired):  Familiarity with software testing, quality assurance, DevOps, or application performance monitoring.

Nice to Haves:

• Experience with MLOps practices and tools for managing the ML lifecycle.
• Contributions to open-source AI/ML projects or relevant publications.
• Advanced degree in Computer Science, AI, Machine Learning, or a related quantitative field.

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Arbeite in einem Team aus erfahrenen Daten- und KI-Architekten im Data & AI Platform Architecture für die Entwicklung skalierbarer Datenplattformen und KI-gestützter Unternehmensarchitekturen, um die Unternehmen in datengetriebene Organisationen transformieren
• Gestalte innovative Projekte zur Daten- und KI-Transformation in Unternehmen entlang der gesamten Datenwertschöpfungskette: Von der Datenstrategie über Governance, Architekturdesign und Plattformentwicklung bis hin zur Implementierung und Automatisierung datengetriebener Geschäftsprozesse
• Übernimm Verantwortung für strategische und technologische Arbeitspakete in Transformationsprojekten, die Unternehmen dabei unterstützen, eine moderne, skalierbare und zukunftssichere Datenarchitektur zu etablieren
• Mapping von Datenmanagement-Technologien und -Fähigkeiten auf Geschäftsprozesse und Use Cases und Entwicklung strategischer Datenplattformen zur effizienten Nutzung und Verwaltung von Unternehmensdaten

Dein Profil

• Einen herausragenden Studienabschluss mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung, wie zum Beispiel MINT, Wirtschaftsinformatik, Statistik/Data Science
• 4-5 Jahre praktische Projekterfahrung in der Konzeption und Umsetzung von in Daten und KI-architektur, Data & KI Plattformen oder Data Engineering
• Fundierte Erfahrungen in Enterprise Data & AI Management, Strategie & Governance sowie idealerweise in einem oder mehreren der folgenden Bereiche: Data Governance, Datenkatalog, Datenintegration, Datenmodellierung, Datenarchitektur, Datenprodukten, Datenqualität und Datenmanagement
• Kenntnis oder Zertifizierung von DCAM oder DAMA wäre optional
• Fundierte Kenntnisse von etablierten Cloud-Infrastrukturen (z. B. AWS, Azure, GCP) und/ oder von Analytics & Data Platform Architecture, insbesondere mit Snowflake, Databricks, Google BigQuery, Redshift und/oder Data Governance-Technologien (z. B. Collibra, Informatica)
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Fähigkeit, strukturiert und präzise in Wort und Schrift zu kommunizieren in komplexen technischen und geschäftlichen Zusammenhängen
• Tiefes Verständnis für datengetriebene Transformation, KI-gestützte Geschäftsmodelle, Data-Driven Decision Making und Agentic AI
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Managementberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Arbeit an strategischen und technologischen Datenprojekten mit globalen Unternehmen
• Kollaboration mit internationalen Teams und führenden Experten im Bereich Data & AI
• Transparente Karriereperspektiven mit klaren Entwicklungspfaden
• Individuelles Training & Weiterbildung durch unser globales Expertennetzwerk
• Flexible Arbeitsmodelle und moderne Work-Life-Balance

Über Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, generative KI, Cloud und Daten sowie profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2024 einen Umsatz von 22,1 Milliarden Euro.

Note:. We are hiring for this role remotely in any country ClickHouse has a hiring presence.

About the Team

The ClickPipes - Database Integrations team builds the platform that enables real-time data replication from databases into ClickHouse at petabyte scale.

As a member of this team, you will be solving complex database-related challenges and distributed systems problems, such as understanding database internals to optimize snapshotting strategy, handling schema evolution during live replication, managing data type compatibility across systems, maintaining low end-to-end latency under unpredictable loads, and leveraging durable execution frameworks to ensure data consistency over unreliable networks. We work in the open — our database integrations are built on PeerDB, an open-source CDC platform we actively maintain and contribute to.

See some of our recent work:

• ClickPipes for Postgres now supports failover replication slots
• MongoDB CDC to ClickHouse with Native JSON Support
• Under the Hood: Building MySQL Change Data Capture in ClickPipes

What You’ll Do:

• Build data-intensive systems

  • Design and develop high-throughput integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake).
  • Handle edge cases in real-world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc.
  • Design integration solutions to enable users to fully harness ClickHouse's performance and throughput.

  Own end-to-end reliability

  • Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing).
  • Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations.
  • Write clear documentation, both publicly and internally.
  • Participate in on-call rotation.

  Drive product innovation

  • Work directly with customers to understand integration requirements and discover gaps in existing product.
  • Collaborate cross-functionally with internal teams to ensure operational efficiency.
  • Lead technical discussions and influence product roadmaps.

About You:

• 5+ years of industry experience building data-intensive software solutions.
• Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go.
• Cloud-native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure).
• Practical experience with Kubernetes.
• Strong problem solver and solid production debugging skills.
• Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response).

Bonus Points

• Experience with database replication technologies (CDC, logical replication).
• Experience with durable execution frameworks (Temporal).
• Experience with data formats and protocols (Avro, Parquet, Protobuf).
• Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink).
• Experience with maintaining/contributing to open-source software.

Why Join Us

• Work on challenging problems at the intersection of database technologies, distributed systems, and cloud-native architecture.
• Work on a team that builds software in the open (PeerDB), and that cares about the craft of engineering, documentations, and continuous learning.
• Be part of a high-visibility team that delivers meaningful impact to customers in a dynamic, hyper-growth environment.

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