PpBitrock is a high-end consulting and system integration company, bstrongly committed to offering cutting-edge and innovative solutions /b. Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs. /p pWe thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design UX Engineering, Mobile App Development, Quality Assurance, FinOps, Governance. The effectiveness of our solutions also stems from bpartnerships /b with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian. /p h3Who we are looking for /h3 pWe are seeking a Senior Data Engineer to architect scalable distributed systems and lead the evolution of our data platform. In this role, you will treat data infrastructure as software, combining high-level bsystem design /b with production-grade bprogramming /b to deliver robust pipelines that support advanced analytics, machine learning, and RAG capabilities. /p pWe hire smart engineers, not just tool users. If you have strong fundamentals in distributed systems and software engineering but haven't used every tool in our specific stack, we still want to hear from you. We believe great engineers can learn new tools quickly. /p h3Who you are /h3 ul libEngineering First: /b You approach data problems with a software engineering mindset, prioritizing maintainability and scalability. /li libTool Agnostic: /b While we use Databricks, you understand the underlying principles of distributed computing and can adapt to any stack. /li libArchitectural Vision: /b You understand why to use a specific architecture (e.g., Lakehouse vs. Warehouse) for specific use cases. /li /ul h3Key Responsibilities /h3 ul libSystem Design Architecture: /b Architect end-to-end data platforms that balance latency, throughput, and cost. Make high-level trade‑off decisions (e.g., batch vs. streaming, consistency vs. availability) and select appropriate infrastructure. /li libAdvanced Software Engineering: /b Write production‑ready, modular bPython /b code. Enforce software best practices including unit/integration testing, CI/CD, and code reviews, ensuring our data pipelines are as robust as our application code. /li libAI RAG Infrastructure: /b Design the system topology for retrieval‑based AI features. Build pipelines that ingest, chunk, and embed unstructured data, managing the flow from raw documents to Vector Search indices. /li libData Modeling: /b Implement dimensional modeling (Star Schema) and modern table formats to ensure data quality and usability for downstream analytics. /li libPerformance Optimization: /b Diagnose bottlenecks in distributed systems. Tune SQL queries and compute jobs (e.g., Spark) for efficiency at scale. /li /ul h3The ұсы Stack /h3 ul libCompute Storage: /b Distributed processing (e.g., Spark, Databricks) and Lakehouse formats (Delta Lake, Iceberg). /li libLanguages: /b Python (Advanced/OOP), SQL. /li libGenAI: /b LLM Orchestration, Vector Databases, Embeddings. /li /ul h3Requirements /h3 ul lib5+ years /b in Data Engineering with a focus on building distributed systems. /li libDistributed Computing: /b Experience with large‑scale processing frameworks (e.g., bApache Spark /b, Databricks, or similar). /li libGenAI Competency: /b Proven experience building infrastructure for bLLMs /b, working with bVector Databases /b, and semantic search. /li libSystem Design: /b Ability to whiteboard complex data architectures and defend your technology choices. /li /ul h3Recruitment Process /h3 pOur recruitment process has 3 stages: /p ul liFirst discovery short interview with our HR team /li liTechnical interview with our Team Leaders /li liFinal interview with our Head of Area /li /ul h3How to Apply /h3 ul liYou can apply via LinkedIn or send your CV to /li /ul h3Seniority Level /h3 ul liMid‑Senior level /li /ul h3Employment Type /h3 ul liFull‑time /li /ul h3Job Function /h3 ul liConsulting /li liIT Services and IT Consulting /li /ul pReferrals increase your chances of interviewing at Bitrock by 2x /p /p #J-18808-Ljbffr