IT and programming
Data Engineer (Marketing Systems) - remote job
Ruby Labs
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Data Engineer (Marketing Systems) - IT and programming, remote
Ruby Labs is hiring a Data Engineer (Marketing Systems). The role sits in IT and programming and is fully remote. The company hires candidates based in Europe.
The main tools named in the advert are: Python, Google Ads, Meta Ads, SQL. Your CV should show concrete examples of exactly these skills.
The employer did not publish a figure; that is settled at interview. The advert names the CET timezone, so working hours have to be agreed against your own.
This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.
In brief
- Company
- Ruby Labs
- Category
- IT and programming
- Who may apply
- From anywhere in Europe
- Work mode
- Fully remote
- Tools
- Python, Google Ads, Meta Ads, SQL
- Employment type
- Full time
- Posted
- 14 September 2026 (26 days ago)
- Active
- until 24 October 2026
- Source
- Jobicy
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About this job
About Us At Quantum Tech Innovations, we are a dynamic tech company dedicated to developing and managing cutting-edge consumer products. Our company spans multiple sectors, including health, education, and entertainment, and we are always on the lookout for enthusiastic professionals to join our team. For more information, visit: [https://quantumtechinnovations.com/about-us/](https://quantumtechinnovations.com/about-us/)
About the Role We are seeking a Data Engineer to oversee and execute data engineering tasks, integrations, and marketing systems. This position is not for beginners; we require someone who can swiftly understand production systems, resolve issues independently, and deliver robust work. Our core technical skills include Python, SQL, and Bash. Experience with Google Tag Manager, pixel/conversion setup, and JavaScript is essential. Familiarity with Airbyte and Airflow is a plus but not necessary.
Requirements
- Proficient in Python, SQL, and Bash - Knowledge of Google Tag Manager, pixels, conversion setup, and JavaScript - Experience with Google Ads, Meta Ads, and Bing Ads - Strong engineering mindset and ability to work with production data systems - Basic understanding of BigQuery, ClickHouse, dbt, and documentation practices - Airbyte or similar ingestion tool experience is beneficial - Basic Airflow familiarity is beneficial - Exceptional problem-solving skills and attention to detail
Daily Tasks
- Maintain and enhance integrations in Airbyte and Airflow - Collaborate on GTM, marketing data sources, tracking, pixels, and conversion workflows - Facilitate data movement and transformation across BigQuery, GCS, Pub/Sub, ClickHouse, and external systems - Diagnose and resolve pipeline, tracking, payment, and data quality issues - Support payment orchestration data flows, including subscriptions and payment processing - Coordinate with different systems and document data flow between them - Work cross-functionally with Data, Marketing, Product, Engineering, and Billing teams
Growth Opportunities You will expand your expertise in GCP infrastructure, DataOps, dbt, BigQuery, ClickHouse, Git, CI/CD, and software engineering practices. You will also gain exposure to internal monitoring platforms built with brokers, microservices, alerting, and observability tools, helping you hone your system design skills through real-world challenges.
Key Success Factors - Proactive: Notice issues early, ask questions, and take ownership of tasks without waiting for detailed instructions. - Availability: Be ready to assist during release days or urgent tracking/payment setups, even in the evenings if needed. - Delivery: Focus not only on learning but also on delivering reliable work in data engineering, marketing systems, payment flows, and internal platforms.
Location Quantum Tech Innovations operates within the CET (Central European Time) zone. We welcome applicants from any country as long as they are within approximately ±4 hours of CET to ensure optimal collaboration and communication during working hours.
Benefits Join our dynamic team and enjoy the following perks:
- Flexible Remote Work Environment: Enjoy the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited Paid Time Off: Use as much paid time off as you need to recharge and prioritize your well-being. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-Provided MacBook: Access top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Benefit from flexibility, autonomy, and entrepreneurial opportunities. Learn more about it here: [https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt](https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt)
Be part of our fast-growing team and seize this exceptional opportunity for personal and professional growth!
Interview Process After submitting your application, we conduct a thorough review, which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes)
Life at Quantum Tech Innovations At Quantum Tech Innovations, we move fast, aim high, and expect the same from our team. We are not here to play small—we are here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you are hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Quantum Tech Innovations offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Donator wrote this description from the employer's advert. See the employer's original.
Frequently asked questions about this job
Can I apply for Data Engineer (Marketing Systems) from where I live?
Yes. Ruby Labs accepts candidates for this vacancy from anywhere in Europe, so you need no work permit for a foreign country. The advert passed an automated check: had the employer required a work permit, visa sponsorship or residence in a specific country, it would not be on this board.
What pay is stated?
Ruby Labs did not publish pay for this vacancy. Most remote adverts publish no figure; it is settled at interview.
How do I apply?
You apply directly to the employer, through the original advert published on Jobicy. Donator takes no applications, charges no commission and stores no CV.
What kind of vacancy is this?
A fully remote role in IT and programming. Hybrid adverts and anything requiring office attendance are not published on this board.
Free certificates for this vacancy
This advert asks for Python, Google Ads, SQL. Below are the free credentials that cover exactly those tools.
CS50x: Introduction to Computer Science
certificateHarvard CS50 · ~100 h
Harvard's own branded certificate is free once you pass every problem set and the final project. The edX verified certificate is a separate paid product and is not needed.
strong brandDeveloper certificates (10+ tracks)
certificatefreeCodeCamp · ~300 h
A non-profit; a card is never requested. The certificate is issued after five projects are submitted and pass.
moderate weightKaggle Learn: 17 micro-courses
certificateKaggle · ~4 h
Intro to ML, Pandas, SQL, Deep Learning, Computer Vision and more. Only a Google account is needed, and the certificate has a public link.
moderate weightGoogle Analytics (GA4) certification
exam is free tooGoogle Skillshop · ~6 h
The one genuine industry certification that is entirely free: 50 questions, 75 minutes, 80% to pass, unlimited retakes.
strong brandValid: 12 months
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