.jpg?1696417403){kind=logo}
Loka, Inc
via Greenhouse
Data Engineering Intern
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 12d ago
The date the source published, not the day we noticed it (2026-09-02). Last seen at its source 3h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Portugal
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €65k–128.1k/yr
Middle 50% of 10 listings that do state pay — Engineering · all levels · Portugal · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen 3h ago
The listing
Duration: Four months
Format: Full time (40 hrs/week), paid
In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world's number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer fighting laboratory. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title. And we did it all while enjoying every other Friday off 😎.
As a Data Engineering Intern, you'll gain hands on professional experience supporting Loka's certified specialists, technical experts and PhDs, all while elevating your skillset, building a portfolio and launching projects you're proud of.
What You'll Do
- Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
- Collaborate with the team to implement and optimize ETL pipelines.
- Integrate data from various sources into warehouses, data lakes and lakehouses.
- Support data management tasks, including data cleaning, validation and transformation.
- Understand business objectives and help develop data models that support them, along with metrics to track progress.
- Participate in client communications by helping gather requirements and communicate deliverables.
- Explore and visualize data with a careful eye for issues that require cleaning, as well as differences in data distribution that may affect performance after deployment.
- Identify data quality issues and opportunities to improve the codebase.
What You'll Bring
Experience & Technical Skills
- Proficient in English.
- Basic knowledge of Python and data libraries.
- Basic knowledge of SQL and database engines.
- Experience visualizing and manipulating datasets.
- Strong problem solving skills.
- Bonus: AWS knowledge, (Py)Spark, Airflow, data lakes and data warehouses, git.
Additional Requirements
- Excellent English, we work entirely in English for meetings, client calls and business communications.
- CV submitted in English.
Personality Profile
- Curious: You're ambitious to learn and grow in different industries using a modern tech stack.
- Autonomous and positive: You excel in a fully remote, globally distributed team.
- Team player: You enjoy a collaborative approach.
- Adaptable: You operate with a startup mindset and move at a startup pace.
- Dependable: You can be trusted to deliver high quality work.
Benefits
- Every other Friday off
- Remote and flexible
- Paid sick days and local holidays
- Fitness subscription
Your achievements matter to us! Ensure your CV and LinkedIn profile are up to date and accurately reflect your experience.