Role: Solution Architect - Data Platform
Location: 100% remote or hybrid - you choose. You can always book a desk in our office in our office in Warsaw or Cracow You'll build modern data platforms and engineering solutions using Databricks and other cloud data technologies. Beyond delivering reliable data pipelines, you'll explore new platform capabilities, develop reusable frameworks and automation, and find practical ways to use GenAI to improve everyday engineering work. What you'll actually work on?
Design and build scalable data platforms and data solutions using Databricks, Snowflake and/or Microsoft Fabric. Develop reusable engineering frameworks and automation tools that reduce manual work and make delivery more efficient. Explore and apply GenAI to practical engineering tasks, such as code generation, pipeline optimization, technical documentation and data quality checks. Improve existing data engineering processes by identifying opportunities for automation, simplification and better performance. Introduce and promote engineering practices that improve code quality, testing, maintainability and reusability. Explore new features and capabilities across data platforms and assess how they can solve real project challenges. Collaborate with other engineers to exchange technical knowledge and develop solutions that can be reused across projects. What you'll work with?
Databricks | Snowflake | Microsoft Fabric | Data Lakehouse | Advanced Analytics | GenAI | Python | SQL | Automation | CI/CD You'll work with modern cloud data platforms and explore how emerging technologies can improve data engineering solutions and workflows. You'll probably enjoy working with us if...
You like understanding how things work under the hood and experimenting with new platform capabilities. When a new technology or feature appears, you naturally start thinking about where it could be useful in a real project. You enjoy solving engineering problems by building reusable tools and automating repetitive tasks. You are curious about how GenAI can change the way engineers write, test, document and maintain code. You care about the quality of what you build and look for ways to make solutions easier to maintain and extend. You enjoy sharing technical discoveries and discussing different approaches with other engineers. You can stay constructive and focused when requirements change or a technical challenge takes longer than expected. This collaboration might not be for you if...
You're looking for one predictable project that will stay largely unchanged for the next few years. You want to receive a finished specification, build exactly what's written there and move to the next ticket. You'd rather stay away from client conversations and collaboration with different stakeholders. Elitmind is a consulting company. What collaboration with Elitmind looks like?
Help build Enterprise IQ Build the Data & AI foundations behind more intelligent organizations, connecting data, analytics, AI and business context to turn technology into better decisions, smarter actions and measurable value. Close to Microsoft As one of Microsoft's key partners in Poland, we get early exposure to new technologies and solutions across the Microsoft ecosystem. Strong Data & AI expertise Collaborate with experienced Data & AI experts across different areas, technologies and enterprise projects. Technology that keeps moving Work across the Microsoft, Databricks and Snowflake ecosystems, with new technologies regularly explored and applied to real business challenges. Different projects, different challenges Our projects span different industries, technologies and business contexts, so there's always something new to solve. Take ownership of your scope and independently organize how you deliver the agreed outcomes. Flexibility that works around your life Choose where you work best and organize your working hours with flexibility. Work remotely or book a desk in our office whenever you want to collaborate or meet the team in person. What we're looking for?
Hands-on experience building data engineering solutions using Databricks. Practical experience with at least one of the following: Snowflake or Microsoft Fabric. Strong data engineering skills and experience designing scalable data pipelines or Lakehouse solutions. Experience with automation, reusable components and improving engineering processes. Knowledge of software engineering best practices, including testing, code quality and CI/CD. Ability to work with changing requirements and solve complex technical problems. Very good command of English. Nice to have:
Experience applying GenAI to software or data engineering workflows, including code generation, documentation, pipeline optimization or data quality automation. Recruitment process
1. HR conversation
We talk about your experience, motivation and expectations, and give you the context you need to decide whether Elitmind makes sense for you. 2. Skills interview
You'll meet one of our experts and talk about your experience, previous projects and how you approach real problems relevant to the role. 3. Final conversation
You'll meet the person responsible for the area to talk about projects, expectations and mutual fit. Whatever the outcome, you'll hear back from us. We provide feedback after our recruitment interviews because if you've invested your time in meeting us, you deserve to know where you stand.
Data Engineer (Databricks) in Warsaw – pracodawca: Elitmind
Elitmind to doskonały pracodawca, który oferuje elastyczne warunki pracy zdalnej lub hybrydowej, co sprzyja równowadze między życiem zawodowym a prywatnym. Nasza kultura pracy opiera się na współpracy i innowacyjności, a pracownicy mają możliwość rozwoju zawodowego poprzez angażowanie się w różnorodne projekty związane z danymi i sztuczną inteligencją. Dołączając do nas, stajesz się częścią zespołu, który kształtuje standardy dostarczania usług w nowoczesnych technologiach chmurowych, takich jak Azure.
