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Engineering Manager
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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote
What you will do
As an Engineering Manager, you will lead an engineering team that builds and operates systems at scale within our platform. This is a high-impact leadership role where you will see your team's work directly translate into real-world applications that impact businesses worldwide. The role requires you to combine strong technical experience with operational and people management excellence.
Where you will have impact
- Lead, coach, and mentor a team of engineers, fostering a culture of technical excellence and long-term career growth.
- Be the technical guide the team can lean on for growing their technical careers and for collaborating on their technical work, while at the same time being strong with people, organization, structure, planning and driving delivery.
- (Help) the architecture, design, implementation, maintenance, improvements and scaling of the systems your team owns.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You'll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Identify, estimate, plan and deliver continuous improvements with the team in system quality, stability, observability, performance, and reliability.
- Collaborate closely with product, other engineering teams, support and business teams.
About our team
You'll be leading a skilled team of engineers who build and maintain critical parts of our platform. The team works on technically challenging problems at scale, turning complex requirements into reliable, high-quality solutions that power our products for the hospitality industry.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- You are an experienced people leader with a passion for coaching and mentoring engineers, driving their technical and professional growth.
- You have experience architecting, designing, implementing, testing, deploying and maintaining complex software systems.
- You have a proactive, "can-do" attitude, viewing challenges as opportunities and inspiring a positive, solution-oriented mindset within your team.
- You excel at seeing the bigger picture, breaking down large projects into clear, manageable tasks, and accurately estimating effort.
- You are a forward-thinking builder who views AI as a core component of modern engineering. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- You get energized from optimizing structure, tooling, processes and ways of working.
- While this is a leadership role, you come from a strong hands-on engineering background and can act as a technical guide for your team.
- Professional proficiency in Python or similar languages for building systems at scale.
- Experience with cloud platforms and modern infrastructure (e.g. GCP, AWS, or Azure).
- Fluency in English, with excellent communication and stakeholder management skills.
We welcome
- Experience within the hospitality technology sector or similar industries (e.g. airline industry).
- Experience with data engineering (large-scale data processing and pipeline development), distributed systems, or high-throughput architectures.
- Strong knowledge of data cloud technologies, data streaming systems (like Kafka or Google Cloud Pub/Sub), and cloud database solutions (like BigQuery, Snowflake, or Databricks).
Technologies you will work with
Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseSenior Data Engineer
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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid
As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Career development: Workshops, frameworks, and trainings to maximize your professional potential.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Mobility options: Mobility budget or company car (based on your job category).
- Net allowance: Support for home office related expenses.
- Vouchers: Lunch vouchers & Eco vouchers.
- Comprehensive health insurance: Extensive coverage for you and your dependents.
- Pension funding: Group insurance to secure your future.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseSenior Data Engineer
Share this job
Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote
What you will do
As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseData Engineer
Share this job
Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote
What you will do
As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseLevel Up Your Career with Zynga!
At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.
From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more!
Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.
Join us and be part of the play!
Position Overview
We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.
As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.
What you'll do:
- Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
- Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
- Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
- Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
- Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.
What You Bring:
- Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
- Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
- Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
- Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
- Strong communication skills — you can explain complex data in simple, actionable terms
- Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
- A team player, you establish effective relationships to work with others for the win
- Proven work experience in data analytics or data science roles
- BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
What's in it for you as a Socialpointer?
- Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
- A generous 25 days of annual leave, plus public holidays
- Private medical insurance for you and your family to keep your health bar full
- Disability and life insurance
- Choose from the latest iOS or Android device when you join (phone or tablet)
- Free language lessons in English, Spanish and Catalan
- Spotify Premium to add the perfect soundtrack to your adventure
- Legendary social events and parties to let off some steam
- Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
- Professional development budget for skills training
Onsite perks include:
- State of the art gym facilities
- Free breakfast, lunch, and specialty coffee
- Onsite physiotherapist and hairdresser (no wallet needed!)
The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.
We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.
Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
Ready to apply?
Apply to Zynga
Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
- Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
- Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
- Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
- Enjoying the Journey: We believe in having fun while working toward our goals.
We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.
Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.
You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.
You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.
Responsibilities:
- Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
- Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
- Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
- Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
- Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.
Requirements:
- 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
- Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
- Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
- Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
- Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
- Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
- Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
- Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
- Good understanding of Docker containers, Kubernetes, and basic networking concepts.
- Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
- Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
- Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
- Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
- Strong English communication skills.
Nice to have:
- Exposure to very high-load, low-latency ML inference environments.
- Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
- Familiarity with Databricks Asset Bundles.
- Understanding of ONNX or other portable model serialization formats.
- Ability to work with Rust programming language.
- Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
- Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
- Experience with MinIO or other S3-compatible storage systems.
- Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
- Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).
This position supposes relocation to Barcelona and work from our office in the city center.
Why Join Us:
- Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
- A collaborative and inclusive work culture that values innovation and continuous learning.
- Competitive salary, flexible work arrangements, and a comprehensive benefits package.
- Professional development opportunities and career growth prospects within a fast-growing company.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!
Ready to apply?
Apply to Appodeal
Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.
By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.
DESCRIPTION
As a science-driven healthcare analytics company with a rapidly growing customer base, Datavant is looking for an expert R programmer with experience analyzing real world data.
As an Associate Director / Director in the Research+Analytics team, you would be part of a small team of analytic programmers executing analyses for client projects and may contribute to the development of software product features.
This position will report to the Senior Director of Biostatistics, Programming Team Lead.
CORE RESPONSIBILITIES
- Autonomously conduct programming tasks, including data management for complex longitudinal analyses and use of R, SQL, and Apache Spark
- Aid in the interpretation of programmed results (e.g., relevant sections of reports or manuscripts)
- Aid in the design and conduct of robust real-world research, including protocol and statistical analysis plan development and ensuring appropriateness of study design, sample size and statistical methodologies proposed
- Mentor early-career programmers
- May be asked to provide input on the appropriate application and prioritization of analytic product features and support their testing in collaboration with the Product Management and Engineering teams, based on use cases and input from clients and internal scientists
QUALIFICATIONS
Required Qualifications
- Advanced degree in biostatistics, statistics, epidemiology, or related quantitative field
- PhD with at least 2 years of relevant experience or Masters with at least 5 years of relevant experience
- Experience processing raw real-world data files (especially from secondary sources) to obtain analysis-ready datasets, such as engaging with data from multiple tables, stringing data to create drug durations, applying complex algorithms (for example, creating pregnancy episodes), etc.
- Strong programming experience in R and SQL
- Experience working with Databricks and Apache Spark for large-scale data processing
- Proficiency in Github use
- Excellent oral and written communication skills
- Ability to self-motivate
- Collaborative, flexible, and solution-oriented
Preferred Qualifications
- Experience in the conduct of descriptive, prediction, and causal inference observational/epidemiological studies using secondary sources of real-world data, such as administrative claims, electronic health records, and disease registries. Experience in the clinical trials space may meet this requirement
- Experience with AI coding tools
Perks of joining Datavant in Barcelona
- 25 vacation days
- Daily in-office lunch stipend (and a fully stocked kitchen)
- Hybrid work model: 2 days/ week in our office in Gracia
- Commitment to professional development opportunities
- Employee-led initiatives including annual company-wide innovation day & DEI resource groups
- Comprehensive private health coverage w/ out-of-network reimbursements options
- Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
- Peer & company recognition programs
- Monthly educational lunch & learns
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy.
Ready to apply?
Apply to Datavant
Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
- Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
- Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
- Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
- Enjoying the Journey: We believe in having fun while working toward our goals.
About Appodeal
Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona, and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses.
We take pride in our cutting-edge product and our internationally distributed team of talented professionals.
Here’s what we value:
- Continuous Learning and Growth – We invest in development and long-term careers
- Making an Impact – We are building a history-defining company in the mobile industry
- Solving Exciting Challenges – Complex, large-scale problems are part of our daily work
- Enjoying the Journey – We believe great results come with a positive environment
About the Role
We are looking for a Senior Rust Engineer to join our Barcelona team and contribute to building high-performance, real-time systems powering our ML-driven AdTech platform (Mobile Growth Platform).
In this role, you will work on core backend infrastructure and ML platform components, focusing on low-latency, high-load services that process large-scale traffic in real time.
You will play a key role in developing and optimizing systems such as real-time applications, feature stores, user identity services, and custom inference layers, ensuring scalability, reliability, and performance.
Responsibilities
- Contribute to the development of real-time applications and ML platform components
- Build and maintain high-load, low-latency backend services
- Work on in-house solutions including:
- Feature stores
- User identity services
- Custom inference layer
- ML platform infrastructure
- Optimize system performance across on-premise Docker & Kubernetes environments
- Design and implement solutions for traffic scaling and system reliability
- Collaborate with ML, data, and engineering teams to support production ML systems
- Continuously improve system architecture, observability, and efficiency
Tech Stack
- Languages: Rust, Python
- Data & Streaming: Kafka, SQL, Redis, ScyllaDB, Delta Lake, Databricks
- Infrastructure: Docker, Kubernetes (on-premise)
- Tools: GitHub
Requirements
- 5+ years of experience in software engineering
- Strong proficiency in Rust
or
proficiency in C/C++/Zig with willingness to transition to Rust - Experience designing and building high-load, performance-critical systems
- Solid understanding of system design, concurrency, and performance optimization
- Basic knowledge of machine learning workflows and tools
Nice to Have
- System programming experience (C, C++, Zig)
- Experience in ML engineering / MLOps
- Strong Python skills
- Familiarity with AdTech standards (OpenRTB, MRAID, VAST)
- Experience with WASM / WASI
- Background in distributed systems and real-time processing
- Location: Barcelona, Spain (office attendance 4 days per week)
What We’re Looking For
- Autonomous and self-driven engineer with strong ownership mindset
- Passion for engineering excellence, performance, and scalability
- Interest in ML/AI systems and infrastructure
- Ability to work independently and make informed decisions
- Strong collaboration and communication skills
Why Join Us:
- Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
- A collaborative and inclusive work culture that values innovation and continuous learning.
- Competitive salary, flexible work arrangements, and a comprehensive benefits package.
- Professional development opportunities and career growth prospects within a fast-growing company.
We appreciate teamwork, critical thinking, independent decision-making, and standing up for oneʼs viewpoint.
We are looking for talented engineers who are willing to grow, improve and share our values!
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!
Ready to apply?
Apply to Appodeal
(Senior) Machine Learning Engineer
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Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.
Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.
The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.
In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
- Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
- Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
- Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
- Enhancing our MLOps platform capabilities to support AI state of the art
- Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
- Contributing to the evolution of our MLOps stack and practices.
Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more
TO BE SUCCESSFUL IN THIS ROLE:
- M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
- 3+ years of professional experience deploying, scaling and monitoring ML models in production environment
- Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
- Proven experience with large-scale data processing systems and modern data warehousing
- Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
- Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
- Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
- Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
- Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.
BENEFITS & PERKS IN A NUTSHELL:
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Plus more local benefits depending on your work location! |
DIVERSITY, EQUITY & INCLUSION:
Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work.
ABOUT US:
Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.
In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
Ready to apply?
Apply to FREENOWLocation: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.
Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.
The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.
In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
- Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
- Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
- Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
- Enhancing our MLOps platform capabilities to support AI state of the art
- Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
- Contributing to the evolution of our MLOps stack and practices.
Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more
TO BE SUCCESSFUL IN THIS ROLE:
- M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
- 3+ years of professional experience deploying, scaling and monitoring ML models in production environment
- Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
- Proven experience with large-scale data processing systems and modern data warehousing
- Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
- Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
- Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
- Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
- Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.
BENEFITS & PERKS IN A NUTSHELL:
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Plus more local benefits depending on your work location! |
DIVERSITY, EQUITY & INCLUSION:
Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work.
ABOUT US:
Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.
In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
Ready to apply?
Apply to FREENOWJoin our Movement and Champion Restaurant Culture! 💚
At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.
We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.
👉 Discover life at TheFork
What you will do:
We are looking for a Senior Data Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).
In this role, you will not only build scalable, production-grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products.
You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain-oriented data ecosystem.
You will report directly to the Senior Data Engineering Manager and work in close collaboration with:
- DataOps team: who own the Data Platform infrastructure
- Architects: to ensure technical decisions align with enterprise architecture
- BI teams, Engineering teams and Data Science teams: who are the main consumers of the platform
Key Responsibilities
Technical Leadership & Delivery
- Design and implement scalable, production-grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability).
- Lead the evolution of orchestration patterns in Airflow to improve scalability, reliability, and maintainability.
- Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap.
- Contribute to shaping and validating the target data architecture in collaboration with Architects, Staff Engineers, and DataOps.
- Proactively identify system weaknesses and design for failure, defining mitigation strategies and resilience patterns.
Data Governance & Quality
- Implement and enforce data contracts and quality controls aligned with defined SLOs.
- Apply data modeling best practices including medallion architecture to create trusted, reusable data assets
- Contribute to establishing domain ownership principles and clear single sources of truth.
- Ensure lineage, metadata, and observability mechanisms are embedded by design in all pipelines.
Enablement & Collaboration
- Drive technical alignment across teams through clear documentation, standards, and mentoring.
- Partner with DataOps to ensure infrastructure, CI/CD, and platform automation at scale.
- Actively support product and engineering teams in adopting the platform, with a strong focus on developer experience.
- Build cross-functional relationships to accelerate adoption and drive platform impact.
Technical Expertise
You Must Meet These Critical Qualifications
Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership.
Data Platform & Architecture
- Deep hands-on experience with a modern cloud lakehouse in production-grade environments (e.g. Snowflake, Databricks, …).
- Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution.
- Proven experience designing scalable, incremental ELT pipelines.
- Strong understanding of MPP systems and distributed data processing principles.
Performance & Cost Optimization
- Experience optimizing query performance and compute cost in cloud data warehouses.
- Cost-aware design mindset.
Orchestration & Data Integration
- Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies.
- Strong experience designing and operating production-grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom ingestion frameworks.
- Experience designing self-service data platform capabilities is a strong plus.
Cloud & Infrastructure Engineering
- Strong experience with AWS-based data architectures (S3, IAM, networking fundamentals).
- Hands-on experience with Infrastructure as Code (e.g. Terraform).
- Experience implementing CI/CD pipelines for data workflows.
- Understanding of security-by-design principles in cloud data environments.
Data Quality, Governance & Observability
- Experience implementing data quality frameworks, data contracts, and validation strategies.
- Strong understanding of metadata management, lineage tracking, and monitoring practices.
- Experience embedding observability and reliability into pipelines (alerting, SLOs, incident response mindset).
Execution & Autonomy
- Lead initiatives end-to-end, from problem framing to production rollout, with high autonomy.
- Structure complex technical problems into actionable plans and manage cross-team dependencies.
- Make informed architectural trade-offs balancing scalability, cost, reliability, and time-to-market.
- Take ownership of platform stability and continuously improve operational excellence.
- Mentor and help other engineers grow through technical guidance and feedback.
What we offer you:
😄 An awesome team
🏠 A permanent contract (that can be useful in life)
⚖️Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)
💸 Competitive fixed salary and bonus
🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)
🌎 International teams and a multicultural environment spanning 10 offices across Europe
🤝 Highly inclusive working environment
🤸♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc
🎓 Continuous learning and development programs
😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey
🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)
🏥Health insurance
👩🦽 Life & Disability Insurance at no cost to the employee
🍴 Amazing offices with dining, coffee points and leisure area
🎤 Team building events
All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.
We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.
TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.
#LI-FF1
Ready to apply?
Apply to The Fork
At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
We are currently looking for a Senior Data Engineer to join us remotely in Spain. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.
"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!" (Máté Gulyás, CEO)
What will you do?
As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent.
What does it take to fit the bill?
Technical Expertise
- You (ideally) have 5+ years of experience in Data Engineering, with a focus on cloud platforms (AWS, Azure, GCP);
- You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog);
- You have extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.);
- You’re proficient in SQL and Python, using them to transform and optimize data like a pro;
- You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep);
- You’ve hands-on experience integrating Databricks with BI tools (Power BI, Tableau, Looker).
Consulting & Client-Facing Skills
- Ideally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing;
- You’ve successfully delivered projects like Data Lakehouse buildouts and cloud data migrations;
- You excel in explaining technical concepts to non-technical audiences and drive decision-making.
Operational Readiness & Soft Skills
- You’re (almost) ready to hit the ground running, immediately contributing to live client projects;
- In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;
- Your communication skills are on point—whether you’re writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop.
What do we offer?
You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography.
Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:
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The chance to work remotely - as we don't have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter;
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World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library;
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Flexible PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done;
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Fully paid Medical Leave for up to 15 days per year - because when you’re unwell, we want you to focus on recovery and not worry about your paycheck;
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Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain;
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Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;
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Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign-up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;
- The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.
IMPORTANT NOTE: Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we're also committed to growing it with us over time.
The gross salary for this position ranges from 70.000 to 80.000 EUR/year, depending on your assessed seniority level during the selection process.
Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain.
Want to know more about us?
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
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Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
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Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
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"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.
Ready to apply?
Apply to DATAPAO
Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
- Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
- Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
- Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
- Enjoying the Journey: We believe in having fun while working toward our goals.
We are seeking a skilled Data Engineer to join our Mobile Growth Platform UA team in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML and DA, analytical and business needs.
Key Responsibilities:
- Design and build scalable data pipelines: Architect, construct, and maintain robust ETL/ELT pipelines using the Databricks platform (Apache Spark, Delta Lake, Delta Live Tables) for batch and streaming data ingestion from various sources.
- Manage data architecture: Define and maintain a scalable and secure data platform architecture that integrates Databricks (for data lakehouse management and complex transformations) with specialized OLAP engines (ClickHouse/Druid for fast querying).
- Design, develop, test, and orchestrate data workflows to streamline pipelines.
- Optimize performance and reliability: Monitor, troubleshoot, and fine-tune data workflows and database performance (e.g., Spark job optimization, ClickHouse schema tuning, Druid data partitioning) to ensure maximum efficiency and reliability.
- Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
- Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.
Requirements:
- 3-5+ years of professional work experience in data engineering.
- Strong expertise in Python and common data frameworks (Pandas, PySpark).
- Experience with modern data storage solutions: Data lakes (Delta tables), and data warehouses.
- Experience with data orchestration tools (Dagster, Airflow).
- Experience with streaming technologies (Kafka, Spark structured streaming).
- Experience with cloud platforms (AWS S3, EC2 etc.)
- OLAP Databases: Hands-on experience with ClickHouse and/or Apache Druid for real-time analytics and low-latency data serving.
- Strong problem-solving skills and ability to excel in a fast-paced startup environment.
- Based in Barcelona or ready to relocate to Barcelona.
Nice to have:
- Experience with Databricks platform.
- Experience in building ML data platforms.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!
Ready to apply?
Apply to Appodeal