Senior Data Engineer at SITA Switzerland Sarl

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data Systems, Databricks, Spark, Event Streaming, Azure Event Hub, Kafka, SQL, Python, Object Oriented Programming, Azure Cloud, ETL/ELT, Data Governance, Data Architecture, Dimensional Modelling, Data Warehouse Design, Data Visualization

Industry

IT Services and IT Consulting

Description

Overview WELCOME TO SITA At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry. You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a Great Place to Work® by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow. Are you ready to love your job? The adventure begins right here, with you, at SITA. ABOUT THE ROLE AND THE TEAM You will be part of the highly talented individuals' team responsible for bringing the Air Transport Industry data to the next level. Your day by day will include working with Data Pipelines, extracting and digging into different Datasets coming from Airports, Airplanes, and Ground Handlers, to understand it and get insights that then we will use to train ML Models so we can make this industry more reliable and easier to operate. We at SITA are the biggest Tech Service provider worldwide for the Air Transport Industry. We have tons of data and now we want to make use of it to make our customers’ lives easier! We are looking for a Data Engineer to join the Central Data Platform Team and design, develop, and maintain reference data patterns, templates, and frameworks on the centrally managed Databricks platform. You’ll support portfolio teams by enabling governance-aligned data engineering practices, ensuring data is produced in a consistent, secure, and scalable way without owning team data products or pipelines. WHAT YOU WILL DO Work together with the team in designing scalable cloud-based data architectures with a focus on performance, cost-efficiency, and security. Develop reference ingestion patterns and templates for integrating data from enterprise systems, APIs, and external datasets. Develop and maintain pipelines (e.g. platform services, system tables, reference implementations) and provide guidance on ETL/ELT best practices for portfolio teams. Apply data governance, cataloguing, and quality monitoring (compliance with guidelines) to ensure trustworthy and well-documented data. Collaborate with data architects, scientists, analysts, and business stakeholders across the Air Transport Industry to translate requirements into technical solutions. Apply modern technologies (e.g., Databricks, AzureML, LLMs) to enable advanced analytics and AI/ML use cases (use-case driven). Qualifications ABOUT YOUR SKILLS 3-5 years of technical experience with Big Data systems. Familiarity with Databricks, Spark and event streaming (e.g. Azure Event Hub, Kafka). Proficiency in SQL and Python, with clean coding and OOP practices. Cloud deployment experience (Azure preferred). We will spend eight hours a day together, and we prefer to spend them in a good mood and a smile on our faces. Having a good atmosphere at work is a must for our teams! Strong collaboration skills, with the ability to enable and advise teams without taking ownership of their delivery. Proactive and solution-oriented mindset. Flexibility and adaptability in dynamic environments. Curiosity and eagerness to learn new tools and improve processes. NICE-TO-HAVE Knowledge of data visualization (e.g. Power BI, Databricks Dashboards, Tableau, etc). Strong understanding of dimensional modelling and data warehouse design. WHAT WE OFFER We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever. 🏡 Flex Week: Work from home up to 2 days/week (depending on your team's needs) ⏰ Flex Day: Make your workday suit your life and plans. 🌎 Flex-Location: Take up to 30 days a year to work from any location in the world. 🌿 Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs. 🚀 Professional Development: At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From LinkedIn Learning, Microsoft's Enterprise Skills Initiative, and Airport Council International -available to all employees-to specialized solutions like Pluralsight for technology upskilling, Harvard Business Publishing for people leadership, Stanford for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way. 🙌 Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.

Responsibilities

Design, develop, and maintain reference data patterns and scalable cloud-based architectures on the Databricks platform. Collaborate with cross-functional teams to implement data governance, quality monitoring, and AI/ML enablement for the air transport industry.