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Do you want to develop your skills in cloud technologies? Join our specialized unit of experts in data processing and analysis within the Data & Analytics Competency Center. We also offer development opportunities in Data Science, Big Data, and Machine Learning. Your tasks Designing, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture Creating and maintaining ETL/ELT pipelines to integrate data from various sources and process it in Azure Databricks environment Data modeling and preparing data structures tailored to analytical and business needs Implementing data processing solutions (batch and/or near real-time) Monitoring, optimizing, and developing existing pipelines and data processing workflows Collaborating with data analysts, BI teams, and Data Science teams to prepare and provide data Gathering business requirements and proposing optimal technological solutions Creating and maintaining technical documentation for developed solutions Supporting and mentoring less experienced team members, sharing knowledge and best practices Requirements Minimum 4 years of experience in projects related to processing and integrating large volumes of data Strong knowledge of SQL and Python Experience working with data processing frameworks such as Apache Spark / PySpark Practical experience in designing and building Data Lake and Data Warehouse solutions Ability to build and maintain ETL/ELT pipelines and work with data orchestration and integration tools Commercial experience in Microsoft Azure cloud-based data processing projects (e.g., Databricks, Azure Data Factory, Synapse, Fabric) Knowledge of data processing concepts in distributed environments and pipeline optimization Fluent communication skills in English Fluent Polish language proficiency required Must be located in Poland Nice to have Experience in data migration projects from on-premise to cloud (databases: Oracle, PostgreSQL, MS SQL) Job no. JOB-QAKZG Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws. Benefits For You Great Place to Work Solid financial situation Contracts with the biggest brands Centre of internal trainings Many experts you can learn from Open and accessible management team Profit sharing Passion Sponsorship program Regular integration events and trips Comfortable and well-equipped offices MySii app Medical care
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.