Data Engineer
Etraveli Group ABOm tjänsten
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 Precision, our specialist in travel fintech; Tripstack, our B2B Flights
as a Service Provider and world leader in virtual interlining, serving as the gateway to Etraveli Group’s flight content and
fulfillment services; Wenrix, the AI Infrastructure for profitable growth in air; and Flygresor.se, Sweden’s leading flight
comparison site. 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.
THE ROLE
Etraveli Group relies on a massive scale of data to drive decision-making, analytics, and machine learning across Finance,
Customer Service, Sales, and Data Science. To support our ambitious growth targets and the ongoing transformation of our data
platform, we are looking for a skilled Data Engineer to serve as a pivotal technical engine in our Data Platform team.
You will work closely with our business stakeholders, analysts and data scientists defining data solutions and implementing data
products that solve their needs. You will bridge the gap between raw, distributed data sources and high-performing data products,
bringing critical data into our lakehouse platform and preparing it for diverse users. You will support the growth of our modern,
scalable data warehouse solutions, ensuring our data pipelines are reliable, secure and deeply integrated into our tech ecosystem.
This is not a purely isolated technical role. The right person can understand underlying business needs – from pricing and
conversion to revenue optimization – and answer questions on feasibility by selecting the right industry-leading frameworks, ETL
patterns and orchestration tools. You will build solutions that don't just look conceptually good, but actually deliver robust
data quality and solve high-stakes complexities within Etraveli.
The role will be based in Gothenburg.
MAIN TASKS
- Design, develop, and maintain robust batch and streaming pipelines tailored to business intelligence, machine learning and
other stakeholders needs.
- Interpret, analyse and ingest data from a variety of cloud and on-premise source systems into our expanding data lakehouse
platform.
- Evaluate, integrate, and configure industry-leading frameworks and tooling for our Data Engineering platform, prioritizing
scalability, optimization/performance and maintainability.
- Define and enforce rigorous data quality standards, implementing relevant monitoring and alerting solutions to ensure high data
integrity.
- Work closely with ML Engineers, core backend developers, DBAs, and business stakeholders to prioritize information needs,
create synergies and optimize existing data pipelines.
- Ensure high-performance data processing and query execution by applying techniques like indexing, partitioning, caching and
efficient data modeling.
- Champion technical excellence by promoting best practices in data engineering, sharing status updates, and contributing to a
culture of continuous learning within the team.
REQUIREMENTS
- Strong foundation in data warehousing concepts (Star and Snowflake schemas, Slowly Changing Dimensions, Incremental Loads) and
translating business requirements into optimal data models
- Proven hands-on experience building and testing batch and streaming pipelines. Familiarity with distributed query engines and
processing tools (Spark, dbt, Dremio/Trino, Databricks) as well as orchestration (Airflow)
- Deep understanding of data lakehouse architectures, utilizing object storage (S3/Ceph), modern table formats (Apache Iceberg,
Delta Lake for ACID transactions/time-travel) and data formats (Parquet, Avro, JSON, CSV).
- Comfortable working with Linux, Docker and Kubernetes. Experience with CI/CD pipelines (Jenkins, Artifactory) and
monitoring/alerting stacks (Grafana, Kibana). Note: Experience with secrets management (Vault) is a strong merit.
BENEFITS
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:
- 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
- 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.
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.
DIVERSITY DISCLAIMER
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.
Krav- & nyckelordscheck
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