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dataroles

Senior Data Engineer

Mindera mindera.com Open · verified Oct 24, 2026
On-site Cluj-Napoca BrașovBucharest +2 Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Mindera. Cluj-Napoca · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationCluj-Napoca
WorkplaceOn-site
EmploymentFull-time
PostedSep 2, 2026 · 7w ago
Also hiring inBrașov, Bucharest, Iași, Timișoara
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and run batch and streaming data feeds from databases, event streams and external APIs
  • Shape storage across data lakes and warehouses, improving partitions, spend and query performance
  • Make pipeline failures easier to detect and recover from through orchestration, tests and alerts
  • Apply infrastructure as code, CI/CD, reviews and version control to data engineering work
  • Set schema agreements with data producers and manage access, retention, lineage and documentation

What you bring

  • You have delivered data pipelines in production and can explain lessons from failures
  • You use advanced SQL and Python, plus production experience with one major cloud and a mainstream orchestrator
  • You communicate fluently in English and can work directly with customer teams
  • You bring production software engineering skills and carefully review AI-assisted code before release

Who this fits

This senior role suits an engineer who enjoys building production data systems and sharing knowledge with others. The position is onsite in Cluj-Napoca, Romania, and project work may involve travel estimated at zero to fifteen percent. You’ll work closely with company leadership and client teams.

From the employer

At Mindera, we craft software with people we love. 💛

We are looking for a Senior Data Engineer to build and run the pipelines and platforms that move our customers' data: from source systems to the warehouse, on production systems with real consequences.

We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.

We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key.

At Mindera, we encourage the use of AI to assist with coding and related tasks. We find that a person's engineering and software craft skills have a big impact on long-term successful delivery, with or without AI. Our goal in the interview process is to understand the candidate’s knowledge and skills in engineering. If you need to, or plan to use AI, please be transparent with us when you're using it, to avoid issues and misunderstandings that can either impact your chance of securing the role or impact your success at Mindera.

When you join Mindera we welcome you into a fun and politics-free work culture, built on the principles of lean and self-organisation.

Note: Depending on the project and our clients' needs, you may get the chance to pack your bags and take off every now and then. Typically, we estimate travel time to be between 0% and 15%.

HOW YOU’LL MAKE AN IMPACT:

  • Pipeline Engineering: Build and operate robust ingestion pipelines (both batch and streaming) from databases, event streams, and third-party APIs.
  • Storage & Performance: Own storage architecture across the lake, lakehouse, and warehouse, optimizing for partitioning, cost efficiency, and query speed.
  • Reliability & Observability: Keep pipelines observable and restartable by implementing orchestration, automated testing, alerting, and ensuring clean recovery when something breaks at 08:00.
  • Engineering Best Practices: Work like a true software engineer by implementing infrastructure as code, CI/CD for data workloads, code reviews, and strict version control.
  • Data Contracts & Governance: Agree on data contracts with data-producing teams to keep schema drift under control, while managing access, retention, and lineage.
  • Lasting Documentation: Produce clear and comprehensive documentation that ensures your work outlives the engagement.

Requirements

We're Looking for Someone Who:

  • Has Proven Production Experience: You have built and ran data pipelines in production—and, more importantly, you can articulate what you learned when they broke.
  • Is an AI-Augmented Engineer: You seamlessly integrate AI tooling into your daily workflow, but you maintain the strict review discipline to verify what it generates before it ships.
  • Is a Confident Communicator: You possess fluent English and are completely comfortable working directly with customer teams.
  • Has a Cost Engineering Mindset (Valued): You know how to make a pipeline cheaper and can quantify the savings.
  • Understands Compliance (Valued): You have exposure to regulated environments, including GDPR obligations, access control, and auditable lineage.

Your Technical Toolkit:

  • Core Languages: Advanced, production-grade SQL and Python.
  • Cloud Platforms: Production depth in one major cloud provider (AWS, GCP, or Azure), with a solid grasp of principles to move between them. (A second cloud platform is a plus).
  • Orchestration: Production experience with an orchestrator from a main vendor (e.g., Airflow, Dagster, Azure Data Factory, or equivalent).
  • Warehousing & Transformation (Nice to have): Warehouse depth in Snowflake or BigQuery (dimensional or Data Vault modelling), and experience with dbt or equivalent transformation frameworks.
  • Processing & Streaming (Nice to have): Spark or PySpark at scale, Databricks, and streaming/pub-sub brokers like Kafka, Kinesis, Pub/Sub, or MQTT-class brokers.
  • AI Data Infrastructure & Formats (Nice to have): Embedding pipelines, vector stores, retrieval feeds, feature stores, and open table/file formats (Parquet, Iceberg, Delta).
  • DevOps & Quality (Nice to have): Terraform, Docker, Kubernetes, GitHub Actions, and data quality frameworks in production (Great Expectations, Soda, Monte Carlo).
  • Source Systems (Nice to have): NoSQL stores (like MongoDB) and marketing/ad-platform data (Google Ads, Meta, CRM platform APIs).

Benefits

THE PERKS OF BECOMING A MINDER:

  • Private medical subscription
  • Private medical subscription for children
  • Counseling and psychotherapy services
  • Reimbursement for eyeglasses
  • Self-proposal salary process
  • Annual profit distribution, subject to company performance and board decision
  • Mindera Unit Plan
  • Flexible benefits options (sports, medical, cultural, donations)
  • Trainings and learning opportunities to grow within your role
  • Coaching and development guidance
  • 25 days holiday
  • Flexibility to choose where you work from
  • Vacation incentive
  • Parties, gatherings & trips

WHY MINDERA?

We're thrilled to have the opportunity to share with you what it's like to be a part of the Mindera community.

We're a group of friendly and talented individuals who work together to bring projects to life, in a fun, politics-free environment.

Our culture is all about being adaptable and self-organized. We want Minders to take risks, make decisions, work together and feel free to be their most authentic selves, every single day.

We work closely with our clients to truly understand their products and develop high-performance, resilient, and scalable software systems that make a real impact for their users and businesses, worldwide.

We are proud of our work, we're always learning and growing in our Agile and collaborative environment, and we hope you'll love it here just as much as we do!

Check out our Handbook & get to know us better: https://mindera.com/handbook.pdf

Mindera around the world: Por to, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India | Blumenau, Brazil | Cluj-Napoca, Romania | Valencia, Spain | Casablanca, Morocco | Melbourne, Victoria, Australia & Remote

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.