Junior Data Engineer
Barcelona, Barcelona, Spain
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Eligibility
Please note that we do NOT provide VISA sponsorship. — eligibility source
Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.
Read the full posting
What you’ll bring
All qualificationsCore experience
- 1-2 years of experience in Software or Data engineering
- Python or Java knowledge.
- Experience with Key-Value stores and in-memory databases (e.g.
- Excellent communication skills in English (written and spoken)
- Familiarity with cloud environments, particularly AWS.
- Experience with Airflow workflows
Qualification wording
1-2 years of experience in Software or Data engineering
Python or Java knowledge.
Experience with Key-Value stores and in-memory databases (e.g. Redis, Memcached).
Excellent communication skills in English (written and spoken)
Familiarity with cloud environments, particularly AWS.
Experience with Airflow workflows
Tools in this posting
- Java
- Python
- Scala
- AWS
- Docker
- MySQL
- Redis
- Airflow
- SQL
- Bash
- Spark
Source — Tool mentions in context
- SQL Knowledge - Python or Java knowledge. - Interest in Big Data, Machine Learning and Data Engineering.
Our Tech Stack - Languages: Python, Scala and bash. - Frameworks: Spark
What Will Make You Stand Out (Bonus Points): - Scala knowledge - Experience with Key-Value stores and in-memory databases (e.g. Redis, Memcached).
- Experience with Key-Value stores and in-memory databases (e.g. Redis, Memcached). - Familiarity with cloud environments, particularly AWS. - Experience with Airflow workflows
- Databases: MySQL, Redis - Cloud & DevOps: AWS, Jenkins, Docker, Airflow - Tools: Git, Jira, Notion
- Frameworks: Spark - Databases: MySQL, Redis - Cloud & DevOps: AWS, Jenkins, Docker, Airflow
- Scala knowledge - Experience with Key-Value stores and in-memory databases (e.g. Redis, Memcached). - Familiarity with cloud environments, particularly AWS.
- Familiarity with cloud environments, particularly AWS. - Experience with Airflow workflows - Experience in Big Data
- 1-2 years of experience in Software or Data engineering - SQL Knowledge - Python or Java knowledge.
- Experience in Big Data - Experience with Spark Our Tech Stack
- Languages: Python, Scala and bash. - Frameworks: Spark - Databases: MySQL, Redis
Benefits in the posting
Full benefits wording- Meal vouchers - Ticket Restaurant monthly allowance.
- Monthly gym allowance: Choose between DiR and Wellhub
From the employer’s posting.
Job description
Smadex is a cutting-edge ad-tech company: we process more than 4,5 million ad requests per second, replying under 100ms (for reference, the Google search engine handles ~76,000 QPS). Every day we generate several TBs of data that need to be processed, analyzed and aggregated, so our real-time components get smarter every day. We need you to help us keep our platform in motion! If you are ready to boost your professional career in the tech world, this is your opportunity.
The team
You will join our core engineering team, a collaborative group of experienced engineers responsible for enabling complex data to be available in the real-time bidding platform for the Machine Learning models to use. We foster a fast-paced, supportive environment where knowledge sharing is key. We value autonomy and will provide the platform for you to grow your career while solving complex engineering challenges.
What are we looking for?
We're looking for an enthusiastic Junior Data Engineer who is passionate about data pipelines and excited by extreme performance challenges. Your success will be measured by your ability to help build robust data pipelines, deliver high-quality features, and collaborate closely with the team while eagerly learning and applying your knowledge effectively.
What will you do at Smadex?
You will dive into a dynamic environment, tackling short-cycle tasks such as implementing complex data ingestion services, following a "you build it, you run it" philosophy. You will be expected to participate in code reviews, contribute to technical and architectural decisions, and collaborate in a fast-paced environment where every opinion counts.
Key Responsibilities
- Feature Ownership: Design, develop, and implement Data features for the Machine Learning models to use..
- Quality Assurance: Write clean, efficient, testable code and thoroughly test work locally and in a sophisticated staging environment.
- Operational Excellence: Monitor deployments and help ensure the stability, reliability and performance of production systems.
- Agile Collaboration: Collaborate with the team in an agile environment, participating in planning and reporting on progress.
Requirements:
- A Bachelor's degree in Computer Science or a related technical field.
- 1-2 years of experience in Software or Data engineering
- SQL Knowledge
- Python or Java knowledge.
- Interest in Big Data, Machine Learning and Data Engineering.
- Excellent communication skills in English (written and spoken)
What Will Make You Stand Out (Bonus Points):
- Scala knowledge
- Experience with Key-Value stores and in-memory databases (e.g. Redis, Memcached).
- Familiarity with cloud environments, particularly AWS.
- Experience with Airflow workflows
- Experience in Big Data
- Experience with Spark
Our Tech Stack
- Languages: Python, Scala and bash.
- Frameworks: Spark
- Databases: MySQL, Redis
- Cloud & DevOps: AWS, Jenkins, Docker, Airflow
- Tools: Git, Jira, Notion
What We Offer
- Join a highly motivated and talented team in a fun and friendly work environment.
- Opportunity to work in a complex environment and gain experience from it.
- Directly add value to the business with the projects that you are assigned.
- Great compensation package.
- Top location at the heart of Barcelona with a rooftop terrace, Barbeque, and a fully stocked fridge.
- Great work-life balance: work from home (2 days per week) and flexible hours.
- Professional development with a LinkedIn Learning subscription and other training opportunities.
- Meal vouchers - Ticket Restaurant monthly allowance.
- Monthly gym allowance: Choose between DiR and Wellhub
- Monthly TGIF (Thank God It’s Friday) events and regular team-building activities.
- Ping-pong table and arcade machine.
- And more!
If you want to know more about us visit our website Smadex.com, and for a sneak peek of the cool stuff we build check this video out! And, if you are ready to take your career to the next level and tackle engineering challenges at a global scale, we encourage you to apply!
Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on smadexslu.applytojob.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Barcelona, Barcelona, Spain
Working pattern and location restrictions need checking in the full posting.
- Work authorization
If you want to know more about us visit our website Smadex.com, and for a sneak peek of the cool stuff we build check this video out! And, if you are ready to take your career to the next level and tackle engineering challenges at a global scale, we encourage you to apply! Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.
- Status in our records
- Active
- First seen by us
- Jun 27, 2026
- Recorded sightings
- 60
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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