Data Engineer
Madrid, Spain
Applications have closed
Scalefast
Scalefast is changing the way brands do direct-to-consumer eCommerce. With our flexible commerce cloud and rapid speed-to-market, experience eCommerce the way it should be.You have already proved yourself for a couple of years in the field of Data Engineering. You know how to build systems for collecting, validating, and preparing that high-quality data and you love working in international start-ups. Then join us and help us revolutionize the eCommerce experience..
In 2025, you will be able to refill your organic shampoo straight out of the shower by touching the wall. Your next favorite sneakers will be guessed and delivered by cyber-birds. Your coffee machine will automatically customize your coffee based on your mood. Do you want to help customers to have the best shopping experience? Heck Yeah!
Scalefast helps amazing brands develop a successful Direct-to-Consumer online business. Our next-generation technology platform is built to optimize modern eCommerce. Our end-to-end infrastructure includes global merchant-of-record agreements, fulfillment, subscription, loyalty programs, and finance functions to deliver new revenue and delightful brand experiences. Scalefast has proven itself with global brands like L’Oréal, Sega, Square-Enix, and Flir to name a few.
What do we offer?
- Competitive salary and a career path adapted to each person's abilities and experience within a company that is growing continuously
- 2 days a week working from home
- A flexible schedule and total conciliation between work and family life including reduced timetable during one month in summer
- Become part of a multi-cultural company where you can contribute with your experience and learn from the experience of others
- Work with amazing brands
- Get the opportunity to influence the future of our services and platform
- Excellent working environment with frequent social activities (hackathons, Spartan races, quarterly whole-team social event)
- Central Madrid office located an 8-minute walk from Atocha train station, with a bus stop and BiciMad station right outside the office
- Kitchen and dining facilities as well as a fully stocked games room with games consoles etc. - great to disconnect from work for a while and have fun with your colleagues.
- Discounted parking space in the office building if you’re coming by car, bicycle parking for those worried about their carbon footprint.
Requirements
What do I look like?
- Have a BS/BA degree in a technical or business-related field
- Strong experience in Cloud-Computing technologies
- Strong experience database technologies, data model and ETL process (e.g. traditional SQL, NoSQL, distributed SQL, obj/file storage, streaming)
- Analytical skills.
- Experience with AWS Redshift, AWS environment in general
What will I do?
- Support on maintaining the BI Environment (AWS Cloud environment) and on the initial development process with External Partner
- Responsible for connecting data sources and BI tools evolutions
- Responsible for all data ingress into data lake/DWH, maintain the accurate content, format, and integrities all through the lifetime of such data. ETL process
- API Rest development to enrich DWH/Tools (i.e. Hubspot, useful for reporting, daily automation)
Tools I'll be working with:
- CRM (Hubspot - Salesforce)
- AWS Environment
- BI Tool (Tableau, Qlik, PowerBi, Quicksight)
- Office (Excel and Power Point)
Must have:
- Fluent in Python 3 programming language
- Experience with GIT
- Experience with AWS Glue Studio
- Experience with SQL and NoSQL query languages
- Experience with AWS Step function
- Knowledge and/or experience with Hadoop and Apache Parquet file format
- API Rest
Tags: APIs AWS E-commerce Engineering ETL Excel Finance Git Hadoop NoSQL Parquet Power BI Python Qlik QuickSight Redshift SQL Streaming Tableau
Perks/benefits: Career development Competitive pay Flex hours Snacks / Drinks Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs