Analytics Engineer (m/f/d) at Omio

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Java, dBT, Pandas, NumPy, Spark, Airflow, Looker, Tableau, Power BI, Redshift, Big Query, Data Modeling, ETL

Industry

technology;Information and Internet

Description

Company Description Omio’s vision is to enable people to travel seamlessly anywhere, anyway. We are bringing all global transport into a single distribution system and creating end-to-end magical consumer journeys. With Omio you can compare and book trains, buses, ferries and flights anywhere in Europe, the US, and Canada with one simple search, on mobile, app or desktop. By offering transparent pricing and easy booking, Omio makes travel planning simple, flexible and personal. Omio is the largest source of inventory, with 1000+ suppliers operating in 46 countries. Our brands also include Rome2Rio for global discovery, while Omio powers ticketing and journeys, which attract 900m+ users every year. Our offices are based in Berlin, Prague, Melbourne, Brazil, Bangalore, and London. We are a growing team of more than 400 passionate employees from more than 50 countries who share the same vision: to create a single tool to help send travellers almost anywhere in the world. Job Description We are looking to hire a mid-level Analytics Engineer in Berlin who will design, develop, and maintain robust and scalable data pipelines for analytics and reporting purposes. Main tasks: Implement ETL processes to extract, transform, and load data from diverse sources into our data warehouse. Optimize data models and structures to support efficient and high-performance analytics. Collaborate with data scientists, business analysts, and other stakeholders to understand analytics requirements and translate them into technical solutions. Develop and implement analytical solutions and algorithms to derive actionable insights from large datasets. Contribute to the design and implementation of advanced analytics models and statistical analyses. Stay up to date on industry best practices and emerging technologies in analytics and data engineering. Drive the adoption of best practices in data engineering processes, coding standards, and documentation. Collaborate with data architects to design and optimize data architectures that align with business goals. Ensure the integrity, security, and performance of data solutions through thorough testing and optimization. Contribute to the development and maintenance of data dictionaries, schemas, and documentation. Collaborate with cross-functional teams to ensure alignment between technical solutions and business objectives. Communicate complex technical concepts and insights to both technical and non-technical stakeholders. Participate in knowledge-sharing activities within the analytics team and the broader organization. Qualifications Education Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a proven experience in related fields. Experience 2+ years of relevant work experience in analytics, data engineering, or a related field. Experience with real-world projects that involve handling and analyzing substantial datasets. Technical Skills: Proficiency in programming languages commonly used in analytics, such as SQL, Python, R, Java or similar. Knowledge of data manipulation, transformation, modeling, orchestration and analysis tools, such as dBT, Pandas, NumPy, Spark, Airflow or similar. Experience with data visualization tools like Looker, Tableau, or Power BI. Familiarity with database systems and querying languages (e.g., Redshift, Big Query). Data Modeling and Warehousing: Understanding of data modeling concepts and experience with data warehousing solutions. Knowledge of ETL (Extract, Transform, Load) processes and tools. Analytical Skills: Ability to analyze and interpret complex data sets to extract meaningful insights. Problem-solving skills with a focus on practical and actionable solutions. Ability to work collaboratively with cross-functional teams, including data scientists, business analysts, and software engineers. Effective communication skills to convey technical concepts to non-technical stakeholders. Experience in managing and prioritizing multiple tasks or projects. Ability to work within timelines and deliver results efficiently. Additional Information What’s in it for you? #LifeAtOmio Have an impact. With innovation and smart technology, we are changing the way people travel, and you too can have an impact on this ride A competitive and attractive compensation package Subsidized Urban Sports Club membership A diverse team of more than 45 nationalities Diversity makes us stronger We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender, gender identity, age or disability. Hiring process and background checks At Omio, we work in partnership with Giant Screening, once a job offer has been accepted, Giant will be engaged to carry out background screening. Giant will reach out to you via email and occasionally via telephone/text message so that they can gather all the relevant information required. Consent will be requested prior to any information being passed to our services company. Recruitment scams: Important notice Protect yourself from scammers, Omio wants to ensure your ongoing safety during the application process at Omio. Please keep in mind potential scammers impersonating Omio recruiters (mainly via a global professional networking site, and messenger app's). Remember, Omio never requests payment or sensitive personal information during the recruitment process. All official job opportunities are exclusively posted on our careers page. If you suspect fraudulent activity, report it to [email protected]. Remember to cross-reference against our careers page if you question the authenticity, stay vigilant, and protect yourself from recruitment scams. Intrigued? Apply here in English.

Responsibilities

The Analytics Engineer will design, develop, and maintain robust and scalable data pipelines for analytics and reporting purposes. Key tasks include implementing ETL processes, optimizing data models, and collaborating with cross-functional teams to derive actionable insights from large datasets.