Data Engineer

Accenture Baltics • Latvia
Relocation
Apply
AI Summary

Design, develop, and maintain robust data pipelines for large-scale data ingestion and transformation. Collaborate with data scientists and analysts to implement solutions addressing business needs. Ensure data quality, optimize workflows, and leverage cloud platforms and big data technologies.

Key Highlights
Work with Fortune 500 companies across various industries
Hybrid work model with flexible hours
Opportunities for career advancement and company-paid certifications
Required EU work permit and start within 1-3 months
Key Responsibilities
Design, develop, and maintain robust and scalable data pipelines to ingest, process, and transform large volumes of data from various sources
Work closely with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions to address business needs
Optimize data workflows and processes for performance, efficiency, and reliability
Ensure data quality and integrity through data validation, testing, and monitoring
Identify opportunities for automation and optimization to streamline data processes
Technical Skills Required
Apache Spark Apache Kafka AWS Azure Google Cloud Platform Python Scala Java SQL relational databases non-relational databases Hadoop Hive HBase Docker Kubernetes
Benefits & Perks
Flexible vacation
Health & travel insurance
Relocation assistance
Hybrid work model
Company-paid certifications
Career advancement opportunities
Nice to Have
Experience with data modelling and database design
Experience with DataOps principles and practices including version control, CI/CD, and automated testing
Experience with containerization and orchestration tools such as Docker and Kubernetes
Experience with data application tuning and performance improvement techniques

Job Description


We are looking for a talented and motivated Data Engineer to join our team at Accenture Baltics. As a Data Engineer, you will have the opportunity to work within different industries applying your knowledge while designing, building, and maintaining cutting-edge data solutions. You will be able to work in a highly motivated environment with a focus on continuous learning, improvement and change enablement.

Benefits:


  • Flexible vacation + health & travel insurance + relocation
  • Hybrid work model: flexible hours with the possibility to combine office and remote work.
  • Work with Fortune 500 companies from different industries all over the world
  • Skills development and training opportunities, company-paid certifications
  • Opportunities to advance career
  • An open-minded and inclusive company culture


  • Compensation at Accenture varies depending on a wide array of factors including but not limited to role, location, effort, responsibility, skillset, and level of experience. We are hiring at the following management levels, and any offer will align with the gross base pay range according to the level at which you are assessed:

    Analyst: EUR 1400-2800

    Senior Analyst: EUR 1700 - 3400

    Team Lead: EUR 1900 - 4700

    Associate manager: EUR 2400 - 6200

    Key responsibilities:


  • Design, develop, and maintain robust and scalable data pipelines to ingest, process, and transform large volumes of data from various sources.
  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions to address business needs.
  • Optimize data workflows and processes for performance, efficiency, and reliability.
  • Ensure data quality and integrity through data validation, testing, and monitoring.
  • Identify opportunities for automation and optimization to streamline data processes.


  • Required Qualifications:


  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in designing, building, and maintaining data pipelines using tools such as Apache Spark, Apache Kafka, or similar technologies.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Strong SQL skills and experience working with relational and non-relational databases.
  • Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.


  • Desired Qualifications:


  • Experience with data modelling and database design.
  • Experience with DataOps principles and practices, including version control, continuous integration/continuous deployment (CI/CD), and automated testing.
  • Experience with big data technologies such as Hadoop, Hive, HBase etc.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with data application tuning and performance improvement techniques.



  • Similar Jobs

    Explore other opportunities that match your interests

    Senior Data Engineer - Data Platform Team Lead

    Data Science
    •
    3h ago

    Premium Job

    Sign up is free! Login or Sign up to view full details.

    •••••• •••••• ••••••
    Job Type ••••••
    Experience Level ••••••

    American Family Insurance

    United State

    Manager - Data & Analytics

    Data Science
    •
    3h ago

    Premium Job

    Sign up is free! Login or Sign up to view full details.

    •••••• •••••• ••••••
    Job Type ••••••
    Experience Level ••••••

    Agoda

    Indonesia

    Senior Data Engineer - Accenture Baltics

    Data Science
    •
    5h ago

    Premium Job

    Sign up is free! Login or Sign up to view full details.

    •••••• •••••• ••••••
    Job Type ••••••
    Experience Level ••••••

    Accenture Baltics

    Lithuania

    Subscribe our newsletter

    New Things Will Always Update Regularly