Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond.
We partner with major global platforms such as Booking.com, Google Flights, Skyscanner, and Kayak, providing seamless flight booking and related services. Our B2B portfolio includes a separate fintech entity with its flagship product, PRECISION, a risk management solution, Sweden’s leading flight comparison site Flygresor.se, Tripstack, our B2B Flights as a Service Provider and world leader in virtual interlining, and Wenrix, the embedded AI platform for flights. We also operate our own online travel agency brands including Gotogate, Mytrip, and Flightnetwork.
Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 3200 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do.
Major offices in Sweden (HQ), Greece, India, Canada, Israel, Poland, UK, and Uruguay.
Etraveli Group is undergoing a significant data transformation, building a robust and highly scalable new data platform to power our internal operations and external data products.
As the Manager Data Platform, you will take full ownership of the technical direction and capabilities of our core data lakehouse. You will work at the critical intersection of technical architecture, data engineering execution and strategic business demands in a dual role. Technically, you are the Platform Owner, taking direct responsibility for prioritizing the work of the Data Operations team and ensuring the underlying infrastructure is robust, scalable, and secure. Organizationally, you are the Line Manager for both the Data Engineering and Data Operations teams.
You will work in close partnership with an external Product Owner who prioritizes the Data Engineering initiatives. Because every Data Engineering initiative relies on the foundation and support of the Data Operations team, your ability to align technical capacity, manage cross-team dependencies, and foster collaboration is critical. You will ensure technical quality, drive architectural vision (including ML), and cultivate a healthy, high-performing environment for all your engineers.
This is a foundational, high-impact role—you will not just be keeping the lights on, but actively designing, managing and scaling the technical engine that drives a fast-growing travel tech company's data future.
Act as the Platform Owner, taking direct responsibility for prioritizing the day-to-day work, technical roadmap, and operational maintenance for the Data Operations team.
Partner closely with the business Data & BI organisation which prioritises our Data Engineering backlog and ensure that the Data Operations team has the capacity and alignment to support all incoming Data Engineering initiatives.
Actively manage technical debt across the platform. Explain the business benefits of infrastructure upgrades, security patches and maintenance to external stakeholders to ensure platform stability isn't compromised for feature delivery.
Serve as the dedicated Line Manager for both the Data Engineering and Data Operations teams, taking responsibility for 1-on-1s, performance reviews and career growth.
Create a productive, safe and healthy team environment by driving continuous improvements in how both teams work together and execute.
Conduct interviews, filter candidates and drive the hiring process for open positions across both DE and DataOps.
Drive the team onboarding process. Ensure comprehensive onboarding materials exist, assign mentors and actively coach new and existing team members.
Define and support the long-term technical vision across IT for the data platform.
Drive the design and implementation of scalable machine learning architecture and AI-ready infrastructure.
Take accountability for the technical quality of output from both data engineering and data operations teams, driving long-term tech domain improvement.
Promote engineering best practices within the teams and coordinate these standards across the wider organization.
Act as the technical safety net—proactively identifying and raising critical technical risks to IT or Product leadership as needed.
Take responsibility for coordinating communication between your teams, the external Data Product Owner and other team leads to successfully meet business needs..
Organize efficient technical planning. Facilitate necessary team meetings (e.g., architecture syncs, dependency planning, retrospectives) to promote efficiency and alignment between DE and DataOps.
Drive cross-team education, knowledge sharing, and cross-team onboarding to prevent silos between operations and engineering.
3+ years in engineering management, tech leadership, or technical platform ownership, with direct experience managing engineers (specifically Data Engineers, DevOps, or DataOps) and 7+ years of experience within IT
Experience in a matrixed environment and proven ability to work alongside external Product Owners, successfully balancing competing priorities, managing technical dependencies, and negotiating capacity
Deep modern data stack knowledge and strong practical understanding of data infrastructure, ELT/ETL pipelines, (on-prem) cloud architectures and compute orchestration
Experience designing scalable systems, with a solid understanding of how to implement and support machine learning architecture
Excellent ability to coordinate cross-team communication and comfortably explain technical trade-offs (like tech debt vs. feature delivery) to non-technical stakeholders and POs
Demonstrated dedication to coaching, mentoring, and building healthy engineering cultures
Background in travel tech, e-commerce or a high-throughput transaction technology company
Hands-on familiarity with tools such as Spark, Dremio, dbt, Airflow or similar infrastructure components
Deep understanding of implementing technical data governance, data masking and compliance requirements (e.g., GDPR) at the infrastructure level
Exposure to providing the infrastructure and compute requirements for AI/ML pipelines, LLMs or agentic systems
At the Etraveli Group Gothenburg office, you will be part of +200 people, all with different cutting-edge skills and personalities. Our shared ambition, passion, and strong work ethic are what drive us toward the same goals. This foundation allows us to value our individual differences, which we believe are precisely what make us a strong team. With us you can enjoy:
Our office is located in Merkurhuset in Gothenburg, a few steps away from public transport and lunch restaurants.
We work on a hybrid-model where you can choose to work two days from home and you have two weeks per year that you can choose to work from a remote location
We love gaming and after work activities.
We know the value of personal development and continuous training.
Hackathons and Dev Weeks - We believe in promoting creativity and trying new things.
Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc.
Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident.
Daily breakfast – To kick the day off just right, breakfast is available at the office every morning.
As part of this recruitment process, we will be conducting background checks. You will be able to read more information and give your consent to this process in the application form.
At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.
