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Do you want to grow your skills in cloud technologies and work with real data? Join our Data & Analytics team, where we build and develop solutions based on GCP. Work with experts, develop towards Data Engineering, Big Data, or Machine Learning, and have a real impact on projects. Your tasks Designing, implementing, and maintaining scalable data pipelines based on Google Cloud Platform Working with BigQuery as the main data warehouse: data modeling, query and cost optimization, ensuring performance and reliability of solutions Integrating data from various sources (files, databases, APIs, events) and processing and transforming it Orchestrating data workflows using Apache Airflow / Cloud Composer Creating and maintaining CI/CD solutions for data pipelines and infrastructure Managing cloud infrastructure following Infrastructure as Code principles (Terraform) Ensuring data quality, pipeline monitoring, and rapid incident response Collaborating with analytics, BI, and product teams to deliver stable and well-documented data Participating in data architecture development and jointly defining good data engineering practices Requirements Min. 4 years of experience as a Data Engineer or in a similar role working with data in a production environment Strong knowledge of Google Cloud Platform, especially BigQuery (data modeling, query optimization) and Cloud Storage Ability to design, build, and maintain data pipelines (batch and/or streaming) Strong SQL and Python skills for data processing and orchestration Experience with workflow orchestration (Apache Airflow / Cloud Composer) Hands-on experience implementing CI/CD for data solutions, e.g., GitHub Actions, GitLab CI, Cloud Build Familiarity with Infrastructure as Code approach, particularly Terraform Previous work with large data volumes, focusing on performance and reliability of solutions Fluent communication in English Required to be located in Poland and fluent in Polish Nice to have Practical experience with streaming data processing (e.g., Dataflow / Apache Beam, Pub/Sub) Proficiency in Apache Spark / PySpark working with large data volumes Skills in data transformation and modeling using tools like dbt Ability to work with diverse data platforms (e.g., Databricks, Snowflake, MS Fabric) Familiarity with tools and best practices in Data Governance, Data Lineage, and Data Quality Job no. JOB-FNDWA 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.