Role Description We are seeking an accomplished Senior Data Engineer to architect, design, develop, and maintain enterprise-grade data platforms, scalable data pipelines, and distributed data processing systems that support analytics, business intelligence, and machine learning initiatives across multiple business domains. In this role, you will be responsible for the end-to-end data engineering lifecycle, including: - Translating business and analytical requirements into robust data architectures. - Developing reliable ETL/ELT pipelines. - Deploying cloud-native data solutions and supporting them throughout their operational lifespan. The successful candidate will bring deep expertise in data engineering, distributed computing, cloud data platforms, and database technologies, combined with strong hands-on experience building scalable, secure, and high-performance data solutions. You will work closely with data scientists, business analysts, software engineers, solution architects, DevOps engineers, and stakeholders in an Agile environment. Key Responsibilities - Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies. - Author secure, reusable, and production-quality ETL/ELT workflows adhering to enterprise coding standards and data governance policies. - Develop scalable data integration solutions using modern cloud data platforms such as AWS, Azure, or Google Cloud. - Design and implement robust data architectures, dimensional data models, data lakes, and data warehouses. - Participate in enterprise data architecture discussions and cloud migration initiatives. - Continuously monitor, profile, and optimize ETL processes and database performance. - Implement and maintain robust metadata management and data governance frameworks. - Develop comprehensive automated testing frameworks for data pipelines and ETL workflows. - Contribute to CI/CD pipeline design and infrastructure automation. - Identify data pipeline bottlenecks and drive continuous improvement initiatives. - Collaborate effectively within Agile/Scrum delivery teams. - Maintain clear and comprehensive technical documentation. Qualifications - Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely related technical discipline. - Five or more years of professional experience designing, developing, and supporting production-grade enterprise data engineering solutions. - Strong understanding of data structures, database design, distributed computing, and data modeling. - Advanced working knowledge of Python, SQL, Spark, Scala, Java, and enterprise data engineering frameworks. - Hands-on experience designing and operating batch processing and streaming data pipelines. - Proven experience with relational and NoSQL databases including PostgreSQL, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. - Strong SQL skills and experience designing dimensional models and enterprise-scale data warehouse solutions. - Experience with Git-based version control, CI/CD pipelines, and Agile software development methodologies. - Hands-on experience deploying enterprise data platforms on AWS, Azure, or Google Cloud Platform. - Strong troubleshooting, analytical thinking, and communication skills. Preferred Qualifications - Experience designing and implementing event-driven architectures and real-time data streaming platforms. - Familiarity with containerization, orchestration, and cloud-native deployment practices. - Exposure to distributed systems concepts including eventual consistency and fault tolerance. - Experience implementing data governance frameworks and DataOps best practices. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

Role Description We are looking for a skilled and experienced Senior Developer to work on our retail client's projects. The successful candidate will play a crucial role in developing and supporting our client's applications, ensuring smooth post-production operations. With a focus on Databricks and SQL, you will be responsible for enhancing application performance and delivering high-quality solutions. This role offers an opportunity to work directly with the client, understand their unique requirements, and provide tailored solutions. Qualifications - Skilled and experienced in development - Proficient in Databricks and SQL - Ability to enhance application performance - Experience in delivering high-quality solutions Requirements - Experience in developing and supporting applications - Strong problem-solving skills - Ability to work directly with clients - Understanding of unique client requirements Benefits - Opportunity to work with leading enterprises - Inclusive workplace culture - Focus on individual growth and well-being

• Own Big Data pipelines end to end. • Design, build, and optimize PySpark ETL/ELT pipelines on Amazon EMR and AWS Glue that process nationwide, county-partitioned property data (First American, BuildZoom permits, market comps) on daily and monthly cadences. • Run our lakehouse. • Operate and evolve our Bronze → Silver → Gold data lake on S3 with Apache Hudi and the AWS Glue Data Catalog, queried through Athena, including schema contracts, partitioning strategy, compaction, and performance tuning. • Orchestrate and automate. • Build reliable orchestration with AWS Step Functions, EventBridge, and Lambda; make reruns, backfills, and failure recovery boring and documented. • Enforce data quality. • Implement and extend our Data QA Audit Standard: layer contracts, write-audit-publish gating, quarantine flows, drift monitoring, and actionable Slack alerting, so bad data never reaches a client list. • Operate production databases and APIs. • Manage Aurora PostgreSQL and DynamoDB workloads, and run data-serving APIs (API Gateway, SQS-backed async workers), such as our Address Resolution Service, to production SLAs with dashboards and runbooks. • Own cloud cost. • Monitor, report, and reduce the AWS data-platform bill (EMR cluster sizing, Glue/Lambda usage, S3 lifecycle, Athena scan costs) as a first-class engineering responsibility. • Ship infrastructure as code. • Define infrastructure with Terraform and CloudFormation, delivered through GitHub Actions CI/CD with tests, linting, and coverage gates, we run a disciplined PR, branch-policy, and code-review culture. • Partner with Data Science. • Build the feature pipelines, training datasets, and serving paths behind our ML scoring and valuation models (scikit-learn/XGBoost-family stack), and co-own the handoff contracts between DS and DE. • Document like a pro. • Maintain runbooks, architecture docs, and data dictionaries (Confluence) so any teammate can operate what you build.

Role Description At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior AI Engineer - Applied Data to join an agile, collaborative team where your voice matters as much as your code. You make the accelerators produce output that is correct, idiomatic, and adopted on the stacks our clients actually run. You encode what "good" looks like for each platform into validators and evals, build the platform adapters, and make the accelerators fit how delivery teams really work. 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. National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated. What will you own - The platform adapters that target each design partner's stack (Databricks, Snowflake, BigQuery, AWS), and the abstraction that emerges once a second stack forces it. - The domain side of the evaluation and verification layer: encoding each platform's idioms and correctness rules so generated output can be trusted. - The high-value generation targets with partners: ingestion and pipelines, transformation logic, warehouse and catalog scaffolding, orchestration, IaC and CI/CD, and the governance accelerators where partner pain is real (contracts, lineage, metadata, PII, data quality). - The fit into real delivery: reviewable diffs, integration with partner workflows, the path to adoption. We're Looking for Someone Who... - Has Senior-Level Impact: You bring a minimum of 5 years as a data engineer with a track record of end-to-end delivery in fast-paced environments. - Values Collaboration: You have professional fluency in English, are an excellent collaborator between developers and leadership, and have the ability to guide others. - Embraces Engineering Best Practices: You have a solid understanding of engineering and architectural principles, and you are comfortable collaborating on CI/CD workflows and using version control (Git). Your Technical Toolkit - Strong production software engineering: Python, testing, CI/CD, REST, Docker. You build reusable products, not one-off pipelines. - Real depth in modern cloud data platforms: You have gone deep on at least one of Databricks/Spark, Snowflake, or BigQuery, are strong in SQL and data modelling, and can reason confidently across the others and pick up a partner's stack fast. - Enough AI engineering to be a full builder on an agentic system: prompt design, structured outputs, function calling, and evaluation, with the Anthropic and OpenAI APIs. You co-own the AI work, you do not just hand requirements to your AI-systems counterpart. - Code-as-data fluency: codegen, templating, validating and parsing generated code, producing reviewable output. - You work close to delivery teams and design partners, and you care that the thing gets used. Recruitment Stages - Screening - Reviewing CVs and eligibility verification. - 1st Call - 30 minute call to assess Technical & Culture Fit with IT Recruiter. - Tech Interview - 2 hour call with two of our Cloud Engineers to assess your technical knowledge in depth. The interview includes a theoretical section based on test-case scenarios as well as live practical exercises. - Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expectations for both parties. - Project/Client Call - A 30 minute to 1 hour call with the client or project team to assess your technical fit for a specific project and align expectations. Benefits - We work in Self-organization culture and therefore we offer a flexible, supportive environment where you are trusted to manage your own time and career. - Well-being First: health insurance and "Open Holidays" because we trust you to know when you need a break. - Flexible Working hours and Work: Work from our vibrant hubs in Porto, Aveiro, or Coimbra, or choose a remote setup that works for you. As long as you are based in Portugal :) - Career Growth: A dedicated budget for training and conferences, plus a transparent profit-sharing model. - Tools for Success: Choose Laptop & Peripherals that best suit your needs, plus Hotspot with unlimited usage (PT), for work or Netflix ;) - Team work makes the dream Work: Mindera Annual Trip, Sports, and sharing groups to connect and have fun! Why Mindera? At Mindera, we use technology to build products we are proud of, with people we love. We believe diverse teams build better products. Mindera is a place where you can be your authentic self, regardless of gender, age, ethnicity, religion, or background. We strive to create an environment where everyone feels they belong and has an equal opportunity to grow. Most of all, you get to work with a group of great people in a politics free environment where the whole team owns the project together. Our culture reflects our lean and self-management mindset, encouraging colleagues to take risks, make decisions, collaborate openly, and communicate with everyone. Freedom and responsibility go hand in hand, and we value commitment, feedback, and empathy. We are proud of our work and love learning about everything as we navigate an Agile, Lean, and collaborative environment. Curious to know more? Check out our Blog and our Handbook! With offices located across Portugal, United Kingdom, United States, India, Romania, Brazil, Morocco, Spain, Australia, Vietnam join us as we expand and influence the future of software engineering worldwide.