Data Warehouse Engineer at Etraveli Group

Gothenburg, Vastra Gotaland, Sweden -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehousing, Data Modeling, Spark, Dremio/Trino, Databricks, dbt, Airflow, Debezium, Flink CDC, Kafka Connect, Bash, Python, SQL, Indexing, Partitioning, Caching

Industry

Software Development

Description

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. The Role At Etraveli Group we use a lot of data for decision making processes, analysis and machine learning. Users of the data can be found in different departments like Finance, Customer Service, Sales, Data Science and Research. In alignment with our growing targets we are looking for experienced data engineers to become part of our Data Solutions team to get more data into our data lakehouse platform and prepare it in order to be used by the users. Who You Are With the right skill set and motivation you will be setting up, maintaining and evolving our data warehouse solution as well as participating in driving a large portion of our future data engineering. In this primarily technical role, there will be close interaction with database administrators and operations’ engineers, but there will also be collaboration with stakeholders from other parts of our organization (e.g data analysts, business intelligence teams and business stakeholders). The data sources we use are located both in cloud environments as well as on-prem. Requirements To thrive and succeed in this role we believe that you have/are: A strong interest in maintain and evolve our data warehouse solution Ability to analyze and take on tasks, both individually and together with others Ability to design and implement tasks from scratch, individually gathering the necessary information where needed Strong foundation in data warehousing concepts and data modeling (e.g., Star and Snowflake Schemas, Incremental Loads, Slowly Changing Dimensions) Previous experience working with data processing and distributed query engines, like Spark, Dremio/Trino, Databricks Previous experience working as a data engineer, with different ETL (e.g., dbt, Airflow) and CDC tools (e.g., Debezium, Flink CDC, Kafka Connect) Previous experience working with multiple scripting languages, like Bash, Python, SQL, etc It is also desirable that your skills match one or more of the following: Previous experience to ensure high-performance data processing with techniques like indexing, partitioning, and caching. Previous experience working with data integrations Previous experience working with data modelling for efficient query performance, data quality and optimization Previous experience working as a database administrator Comfortable working with Linux, Docker, and preferably also Kubernetes Experience with data lakehouse table formats like Apache Iceberg or Delta Lake, enabling features like ACID transactions and time-travel on object storage Benefits At the Etraveli Group Gothenburg office, you will be part of +200 people, all with different cutting-edge skills and personalities. We believe that it is precisely the differences that make us a good team because we share the same ambition - we strive for the same goals, are passionate about what we do and work hard. With us you can enjoy: Our brand new office is located in Merkurhuset in Gothenburg, a stone's throw from public transport and lunch restaurants. We have a hybrid working model so once you are onboarded you have the flexibility to work from home two days a week. 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. 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.

Responsibilities

The role involves setting up, maintaining, and evolving the data warehouse solution while participating in driving future data engineering efforts for the data lakehouse platform. This includes preparing data for use by various internal stakeholders like Data Science, Finance, and Sales teams.