BI Data Engineer

Good to have

Bring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed:

• Solid Data Engineering Experience: Proven experience in designing, building, and optimizing data pipelines.
• Python Proficiency: Strong programming skills in Python for data manipulation and automation.
• SQL Expertise: Deep understanding of SQL and experience with complex querying and data modelling.
• DBT (Data Build Tool) Knowledge: Hands-on experience with DBT for transforming data in a modular and testable way.
• Workflow Orchestration with Airflow: Experience in developing and managing data workflows using Apache Airflow (preferably Google Cloud Composer).
• Cloud Data Warehousing: Familiarity with cloud-based data warehousing solutions, ideally Google BigQuery.
• ETL/ELT Tooling: Understanding of ETL/ELT principles and experience with relevant tools.
• Infrastructure Management and Automation: Understanding usage of Google Kubernetes Engine (GKE), Docker, Pub/Sub, Git & CI/CD.
• Analytical & Problem-Solving Mindset: Ability to analyze complex data challenges, identify root causes, and implement effective solutions. You have a keen eye for detail and a commitment to delivering high-quality results.
• Team Player & Communicator: Excellent communication and collaboration skills. You thrive in a team environment and can effectively articulate technical concepts to both technical and non-technical audiences.
• Agile Advocate: Experience working in agile (Scrum/Kanban) environments.
• Self-Starter & Proactive: You are organized, proactive, and capable of managing your tasks effectively in a fast-paced environment.
• Fluent in English: Professional proficiency in English (written and spoken) is a must.

• Bonus Points (Highly Desirable):
• BS/MS in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Experience with other Google Cloud Platform data services.
• Familiarity with data visualization tools (e.g., Microstrategy, Looker, Tableau, Data Studio).
• Previous experience in the travel or e-commerce industry.

The best talent deserves the best benefits

At eDO, we want you to be a part of our success story and great culture. Here's what we offer:

• A rewarding Compensation package! Prime Plus membership, Competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and the possibility of choosing your equipment and, even better, keeping it for free after 3 years.
• Continuous learning to fuel your growth and explore new horizons! Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.
• Grow opportunities to empower your career, and unleash your potential! Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.
• Your Well-being is our Priority. Embrace Freedom and Flexibility! At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcome, not time-in-seat. You'll be able to find the right work-personal life balance that suits you best.
• Work hard, party hard! We believe in having fun and connecting with colleagues! Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.
• Enjoy a dynamic and healthy environment! Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You'll work in an Agile Mindset environment with recognition at our core.

Wanna take a peek into what it's like to work at eDO? Follow us on LinkedIn and discover more about life at eDO!

If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.

As you contemplate your future, you might be asking yourself, what's the next step? Start your journey with us!

We are seeking a talented and passionate BI Data Engineer to join our dynamic Business Intelligence team. In this role, you will be instrumental in shaping our data landscape, working on exciting projects including our ongoing migration to a cutting-edge Google Cloud-based data platform. If you thrive in an agile environment, love transforming raw data into actionable insights, and are proficient with modern data stack technologies, this is the opportunity for you.

Our Business Intelligence team is the centre of excellence for providing insights and learning from the Data. Our goal is to help different teams across the organization to succeed in their mission by providing insights generation and data analysis support in a healthy data-informed environment.

The Role's Key Responsibilities and Tasks

As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As an BI Data Engineer in the Business Intelligence team, you will be in charge of:

• Develop & Optimize Data Pipelines: Design, build, and maintain efficient and reliable data pipelines using Python, SQL, DBT, and Airflow to ingest, transform, and load data from diverse sources into our Google Cloud data warehouse (BigQuery).
• Data Modelling & Architecture: Contribute to the design and implementation of scalable and performant data models / pipelines that support analytical and reporting needs.
• Ensure Data Quality & Integrity: Implement data quality checks and processes to ensure the accuracy, consistency, and reliability of our BI data.
• Collaborate & Innovate: Work closely with product owners, data analysts, and other stakeholders to understand data requirements and translate them into technical solutions. Actively participate in an agile development environment, contributing to sprint planning, reviews, and retrospectives.
• Empower Data Users: Support the development of dashboards and reports, and provide assistance to users to help them leverage data effectively.
• Champion Best Practices: Promote and implement best practices in data engineering, including code quality, testing, documentation, and version control.