Senior Data Engineer at Delivery Hero

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Pipelines, ETL, Python, SQL, Cloud Platforms, Docker, Kubernetes, Data Warehousing, Business Intelligence, Data Analysis, Data Transformation, Collaboration, Communication, Agile Methodologies, Data Integrity

Industry

technology;Information and Internet

Description

Company Description efood is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. Job Description Are you passionate about leveraging data to drive informed decision-making and fuel business growth? Do you have a knack for designing robust data infrastructure and optimizing data pipelines? Let’s talk! At efood we believe in the power of data as it is at the heart of everything we do in order to further expand and shape the online delivery landscape. Our Data team is working closely with our Product and Engineering teams, and they ensure the seamless flow of information that empowers our teams to make strategic decisions. We are currently in search of a Senior Data Engineer who will be responsible for designing, building and maintaining our data architecture and flows, and optimizing data warehouse and pipeline. In this role, you will be working with agile methodologies and your contributions will have immediate impact on the scalability, efficiency, and reliability of our data infrastructure, influencing day-to-day decisions at efood. What you’ll do: Design, deploy and manage infrastructure components and systems of the data platform Design and maintain data warehouse (data preparation, data warehousing, reporting, analytics & data exploration and information delivery) Support and maintain the data foundation that the reporting layer and dashboards rely on Build, maintain, and deploy data products for analytics and data science teams on cloud platforms Prepare high-level ETL mapping specifications Develop complex code data scripts (usually in Python or SQL) to extract and manipulate data from multiple sources. Act across all development levels - from data acquisition and manipulations to the solution deployment and ongoing support Ensure data accuracy, integrity, privacy, security and compliance Resolve end user reporting problems through collaboration with stakeholders Troubleshoot technical issues and provide administrative support for the Business Intelligence toolbox Nice to have: Experience with Columnar Databases (e.g. BigQuery, Redshift) Experience with Infrastructure as Code tooling (e.g. Terraform) Experience with Git and implementation of CI/CD pipelines Familiarity in working with REST APIs Basic knowledge of analytics concepts Life @efood: At efood, no day is the same as the day before! efooders know that working and having a good time aren't the opposite and that’s why every day at efood is a new adventure! We always aim higher and we thrive in finding solutions to push our limits further! We care about our customers, our employees, and our society. We seize every opportunity to celebrate achievements and milestones, but we also celebrate small things (like Fridays!) Every efooder is part of a fast-growing multinational company, with endless opportunities for professional growth and acquisition of new skills! We have an established, yet super creative and fun working environment, with talented and ambitious people whose ultimate goal is to maintain efood as the ideal workplace! Qualifications University/Bachelor’s Degree in Computer Science At least 6 years of experience in a relevant position Understanding and implementation experience with both relational and data warehousing models Strong knowledge of data analysis, data transformation, conceptual data modeling, meta-data management, data mart schemas for optimal performance of business intelligence solutions Strong programming experience with Python Advanced SQL skills Experience with at least one cloud provider (Google Cloud, AWS, Azure) Experience with docker and container orchestration technologies (Kubernetes) Experience with workflow scheduling tools (e.g. Apache Airflow, Argo workflows, Dagster, Luigi) Analytical acumen with a strong sense of urgency and ownership in your work Excellent communication and collaboration skills Proven ability to work independently and as part of multidisciplinary team Proficiency in Greek and English (verbal and written) Additional Information If you are happy, we are happy! That’s why we offer an attractive remuneration package for what you bring in! We share a passion for food, so you will certainly appreciate the ticket restaurant card 💳 to spend in restaurants and/or food supplies. We are efooders after all! We take care of you with Private Medical & Life Insurance from day #1 to keep you healthy and happy! We prioritize your mental health 🧠 and offer round-the-clock access to an online mental health platform. You can schedule unlimited therapy sessions with certified psychologists and coaching sessions with experienced coaches. We want you to grow with us🚀! And to help you keep improving, we provide you access to our online training platform where you can study 📖 topics for your personal and professional growth! Are you a cappuccino lover ☕? Do you desperately want a cookie? Our cafeteria got you covered! If you want to stay in shape 🏋️, our in-house gym awaits you fully equipped! We are passionate about exploring, growing & learning and our Global Mobility plan is created to help our people find their purpose around the world 🌎! Saving for the future? We’ve got your back! Our Pension Plan helps you invest in tomorrow while you enjoy today! efood collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.

Responsibilities

The Senior Data Engineer will design, build, and maintain data architecture and flows, optimizing the data warehouse and pipeline. This role involves working with agile methodologies to enhance the scalability, efficiency, and reliability of the data infrastructure.