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Data Engineer

At Trafi we build connected mobility solutions that help people, cities and companies move towards a more balanced and sustainable future. We work with cities to connect and automate all their mobility options – from public transport to micromobility and every service in between – into a single platform.

We aims to help people navigate their city smoother. By providing reality reflecting, accurate and timely information, narrowing down traveling options to suit any circumstances and personal preferences, we eliminate time wasted waiting for the vehicle or apologizing for being late.

We reach our goal by developing products for automatic public transport data preparation, arrival time estimation, and intermodal routing.

At Trafi we run a modern Cloud Native Business Intelligence stack for Senior Data Engineer to join our team. In this role you will:

  • Design and maintain our data pipelines by employing engineering best practices documentation, testing, cost optimisation, version control
  • Work in Data Platform team to transform business and analytical needs into accurate and reusable data models in our data warehouse
  • Identify gaps in data collection, diagnose and fix data discrepancies and maintain model code to fulfil business requirements and keep consistent ETL logic
  • Participate in transition towards Data Mesh architecture by building related tooling, infrastructure and providing consultations to domain teams
  • Stay up to date with the latest technologies and trends to improve our existing data analytics and data platform stack

We expect you to have:

  • Experience in designing and operating data processing solutions, covering full lifecycle from collection to ingestion, storage, transformation and reporting;
  • Hands-on experience using public cloud infrastructure, preferably AWS;
  • Strong SQL experience. Ideally with modern data warehouses like BigQuery, Snowflake, Redshift, Firebolt;
  • Good command of at least one general purpose programming language, ideally Python;
  • Knowledge of Unix shell scripting, Docker, Git version control system.

Would be considered as an advantage:

  • Hands-on experience using BigQuery, DBT, Dagster, Jupyter notebooks, Looker, Big;
  • Data ecosystem and tooling;
  • Experience in maintaining multi-tenant data-centric solutions;
  • Experience in adopting data privacy standards and best practices;
  • Experience in adopting data governance standards and best practices;
  • Experience working in a distributed service architecture;

Salary

The salary range for this position is 3800 - 5900 Eur gross per month

  • Work Your Way. Enjoy the flexibility to work remotely from anywhere (compliant with EU laws). Our office is located in Vilnius when you want to drop by and say hi!
  • Talented colleagues. Collaborate with colleagues who are experts in their fields, fostering an environment of learning and growth.
  • Health Benefits. We've got your well-being covered with medical insurance, ensuring you're in great shape. Additionally, you can personalize your wellness options using Stebby.
  • Learning Budget. Your growth matters to us. We've set aside a budget for your personal and professional development, so you can continue to grow.
  • Convenient Commuting. Take your pick between parking options or a monthly allowance for the Trafi app, so you can get to work without stress.
  • Team Time. Enjoy team-building activities with a dedicated budget and time off to strengthen connections.
  • Christmas Break. Enjoy an extended holiday season with extra days between Christmas and New Year to unwind, recharge, and spend quality time with loved ones.
  • Bonus Vacation. Get an additional three bonus days. Take some time off to relax, and do what you love during your extended break
  • Secure Your Future. Thinking ahead? We offer the option to allocate a part of your salary to a pension fund for your stable future.

Average salary estimate

$58200 / YEARLY (est.)
min
max
$45600K
$70800K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Trafi

At Trafi, we are on a mission to revolutionize how people experience mobility in their cities. As a Data Engineer, you'll play a vital role in shaping connected mobility solutions that integrate various modes of transport into seamless user experiences. Imagine helping cities, companies, and citizens navigate their journeys more intelligently and sustainably! Your main responsibilities will include designing and maintaining robust data pipelines, transforming analytical needs into accurate data models, and ensuring consistent data with innovative ETL logic. For those of you who thrive on technology, you’ll work with a modern Cloud Native Business Intelligence stack and will be pivotal in our transition to a Data Mesh architecture. We’re looking for someone with a knack for problem-solving and who stays engaged with the latest trends in data analytics. Ideally, you should be experienced in public cloud infrastructures like AWS and have a strong grip on SQL with modern data warehousing tools. Plus, you'll have ample opportunities for personal growth, working collaboratively with a talented team passionate about harnessing data to enhance urban mobility. Join us at Trafi, where we believe in fostering learning and innovation while maintaining flexibility in your work-life balance. Don’t miss this chance to be part of a team that’s making a genuine impact on urban travel and community sustainability!

Frequently Asked Questions (FAQs) for Data Engineer Role at Trafi
What are the primary responsibilities of a Data Engineer at Trafi?

As a Data Engineer at Trafi, your key responsibilities will include designing and maintaining data pipelines, transforming business needs into actionable data models, and ensuring data accuracy through effective ETL processes. You’ll also work on the transition towards a Data Mesh architecture, which means you'll be involved in creating tooling and infrastructure while providing essential consultations to domain teams.

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What qualifications do I need to be a Data Engineer at Trafi?

To qualify for the Data Engineer position at Trafi, you should have experience in designing and operating data processing solutions across the entire lifecycle, combined with hands-on experience in public cloud infrastructure like AWS. Strong SQL skills and familiarity with programming languages, particularly Python, are key. Knowing Unix shell scripting and tools like Docker and Git will be advantageous as well.

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Can you explain the technology stack used for the Data Engineer role at Trafi?

Trafi utilizes a modern Cloud Native Business Intelligence stack for its Data Engineer role. This includes working with public cloud solutions and modern data warehouses such as BigQuery, Snowflake, Redshift, and Firebolt. Your role will involve staying up-to-date with the latest data analytics technologies to constantly improve our data platform.

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Is remote work an option for Data Engineers at Trafi?

Yes! At Trafi, we embrace a flexible work culture, allowing Data Engineers to work remotely from anywhere in compliance with EU regulations. You can choose to occasionally visit our office in Vilnius if you prefer a hybrid work environment.

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What kind of professional development opportunities does Trafi offer to Data Engineers?

Trafi is committed to the growth of its employees. As a Data Engineer, you will have access to a learning budget specifically set aside for your personal and professional development, enabling you to continue honing your skills and knowledge in the ever-evolving field of data engineering.

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Common Interview Questions for Data Engineer
What experience do you have with designing data pipelines?

When answering this question, provide specific examples of data pipelines you have designed. Mention the technologies you used, how you optimized them, and the results achieved. This showcases your technical skills and ability to deliver impactful solutions.

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How do you ensure data accuracy and integrity in your projects?

Highlight your approach to quality assurance, including testing methodologies, continuous monitoring, and best practices you've implemented in previous positions. This demonstrates your commitment to maintaining high standards in your work as a Data Engineer.

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Can you describe your experience with cloud infrastructure, particularly AWS?

Discuss specific projects where you’ve utilized AWS services for data engineering tasks. Mention any services like S3, Redshift, or Lambda and how you leveraged them to meet project goals. Show how your expertise aligns with Trafi's cloud-native needs.

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What tools do you use for data modeling and ETL processes?

Talk about the data modeling tools and ETL frameworks you've worked with, such as DBT or Airflow. Explain how these tools aided in creating efficient workflows and how you tackled any challenges that arose during your projects.

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How familiar are you with SQL and what types of queries have you built?

Provide examples of complex SQL queries you've written, including performance tuning, optimizing queries for large datasets, and reports you've generated. This will demonstrate your proficiency and problem-solving skills.

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What strategies do you use to stay updated with the latest data engineering trends?

Mention your methods for staying informed, whether through online courses, webinars, attending conferences, or being part of data engineering forums. This shows your enthusiasm for continual learning and adapting to industry changes.

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Can you explain a time you solved a data discrepancy issue?

Share a specific example including the steps you took to identify and rectify the issue, who you collaborated with, and the outcome. This illustrates your analytical skills and teamwork capabilities.

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What is your understanding of Data Mesh architecture?

Explain what Data Mesh architecture is and its benefits. Provide insights into how your experience aligns with Trafi's transition plans and your perspective on decentralized data management.

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How do you prioritize tasks when faced with multiple data projects?

Describe your approach to prioritizing tasks based on project impact, deadlines, and team collaboration. You might want to showcase tools or frameworks (like Agile methodologies) that you utilize to manage your schedule effectively.

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What do you enjoy most about data engineering?

Reflect on your passion for data engineering and the aspects you find most fulfilling. Whether it's solving complex problems, enabling better decision-making, or the rapid evolution of technology, sharing your enthusiasm can help create a personal connection with interviewers.

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Founded in 2013, Trafi is a Lithuanian tech start-up. Trafi is working shoulder-to-shoulder with cities, countries, and companies worldwide to create the best in class Mobility-as-a-Service alternative for congested cities. Trafi offers cities the...

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Full-time, remote
DATE POSTED
April 4, 2025

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