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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 a persons skill in engineering and software craft, has a big impact long term successful delivery, with or without AI. Our goal in the interview process is to understand the candidates knowledge and skill with 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.