Junior Data Operations Expert (Growwwer)

GROWWW WITH MOL GROUP
 

You may be a fresh graduate, but our #Growww program is not - it's been almost two decades since MOL Group kicked off its exciting graduate program offering young and junior talents a full-time career at a stable multinational with regional possibilities.
 

Grow yourself during Growww into a professional not only in traditional energy industry, but dip into solutions that take the region further and advance mobility, energy, and sustainability. Receive competitive pay and benefits, build your professional network, choose a mentor to support you on the journey, participate in team task competition, present to MOL Group management, and continue growing within MOL Group after program completion.

About Us: Digital Factory @ MOL Group
 

Imagine a place where startup energy meets corporate muscle. That’s us. We’re Digital Factory, the innovation engine behind MOL Group’s transformation from a traditional fuel retailer into a digital-first, customer-obsessed mobility and consumer services powerhouse.
 

We’re building a smarter future – powered by data and AI, driven by insights, and designed for people. From our Salesforce-powered loyalty app (hi, MOL MOVE ) to our ever-evolving Data Lake, we’re not just keeping up with the future – we’re building it.

About the Role
 

We’re looking for a Junior Data Operations Expert who gets excited about stability, reliability, and the invisible backbone of digital products: data operations. If you love digging into logs, spotting anomalies, running scripts, and ensuring systems run smoothly—you might be our next Growwwer.
 

This is an early‑career role designed for someone who wants to learn cloud data ecosystems, Databricks operations, monitoring, CI/CD, automation basics, and data quality essentials.

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.

• Run predefined diagnostics and flag unusual behaviour with clear documentation.

• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Prepare structured tickets for senior Data Ops or Platform Specialists.

• Maintain runbooks, operational guides, and Confluence documentation.

• Run scheduled data quality checks and validate ingestion outputs.

• Assist in deployments (moving notebooks, testing triggers, validating system health).

• Learn CI/CD, Python/SQL scripting, and build small internal tools that improve operations.

• Curiosity about cloud data platforms, monitoring, and automation.

• Basic understanding of SQL/Python and willingness to develop deeper skills.

• Methodical mindset, attention to detail, and consistency.

• Interest in data quality, troubleshooting, and operational workflows.

• Proactiveness, accountability, and growth mindset.

• Hands‑on learning with Databricks, Delta tables, CI/CD pipelines, and monitoring tools.

• Coaching from senior Data Ops experts and a structured Grower development path.

• Ownership of small operational components early on, with clear growth opportunities.

• A team that values reliability, collaboration, and continuous improvement.