Senior Data Engineer
Athens, Greece
Delivery Hero
Delivery Hero - Always delivering an amazing experience.Company Description
efood is the #1 delivery service in Greece, working with more than 21.000 stores in 100 cities. We offer our users the opportunity to order anything they desire, wherever they are, giving them the option to pay by cash or card.efood is much more than a great place to work: it is an entire working experience that has its own set of core values: We care, We deliver solutions, We always aim higher. These values shape a single culture across the organization, guiding the behavior of every efooder and contributing to the successful implementation of the company’s mission.
efood is part of the Delivery Hero Group, the world’s leading local delivery platform operating in 70+ countries worldwide
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
Qualifications
University/Bachelor’s Degree in Computer Science
At least 5 years 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)
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 with Go programming language
Familiarity in working with REST APIs
Proficiency in crafting ingenious solutions using limited resources
Basic knowledge of analytics concepts
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 🌎!
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!
Hungry enough to join us?
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Architecture AWS Azure BigQuery Business Intelligence CI/CD Computer Science Dagster Data analysis Data management Data pipelines Data warehouse Data Warehousing Docker Engineering ETL GCP Git Google Cloud Kubernetes Pipelines Privacy Python Redshift Security SQL Terraform
Perks/benefits: Career development Competitive pay Health care Startup environment
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