2 months ago
Warsaw, Poland or Kraków, PolandEntry Level / Mid Level / Senior
Responsibilities
- Design and implement scalable data pipelines using cloud, generative AI, and agentic AI technologies.
- Develop, test, debug, tune, and optimize SQL and database workloads in production environments.
- Design and implement ETL processes and data integration solutions for large or complex data sets.
- Create conceptual, logical, and physical data models using dimensional, relational, or Data Vault techniques.
- Translate business requirements into robust, scalable data solutions.
- Support data transformation, automation, and basic analytics through SQL-centric programming and scripting.
- Collaborate in cross-functional teams involving technical, business, and data science stakeholders.
- Work with clients and travel to client locations across Europe as required.
Requirements
- At least 2 years of hands-on experience with relational or analytical databases and SQL development, testing, debugging, and performance optimization in production.
- At least 1 year within that experience designing or implementing ETL processes and data integration solutions using enterprise ETL tools.
- Experience creating conceptual, logical, and physical data models in analytical environments.
- Expert-level SQL skills, including procedures, triggers, functions, and packages, in at least one major RDBMS or enterprise data warehouse technology.
- Experience with or strong interest in processing and integrating data on AWS, GCP, or Azure; familiarity with cloud storage, managed databases, and serverless or data pipeline services is desirable.
- Hands-on experience with SAS Data Integration Studio or IBM DataStage; Informatica experience is also listed as an example enterprise ETL technology.
- Familiarity with Hive, Spark, NiFi, HBase, HDFS, Kafka, or Kudu is a bonus.
- Practical SQL-centric programming or scripting skills plus one of Python, R, or SAS.
- Professional working proficiency in English, analytical thinking, problem-solving ability, attention to detail, and effective communication with technical and non-technical stakeholders.
- Willingness and ability to travel to client locations across Europe for short- or long-term engagements.
Benefits
- Permanent employment contract.
- Dedicated People Lead, personalized professional development path, coaching sessions, and extensive soft-skills, technical, language, GenAI, and cloud-certification training.
- Access to e-learning platforms and a Gallup strengths assessment.
- Employee Assistance Program with legal, financial, and psychological consultations.
- Private medical care and life insurance coverage.
- MyBenefit platform with products and services such as a Multisport card.
- Paid employee referral program.
- Eligibility for quarterly dividends through the Employee Share Purchase Plan for employees who own company shares.
- Work is primarily remote with hybrid collaboration, offices in Warsaw and Kraków, and travel to client locations across Europe as project needs require.
Tech Stack
Apache HBaseApache HiveApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformIBM DB2InformaticaMicrosoft SQL ServerPythonRSassSnowflakeSQL
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.