Data Engineer

Reposted 3 Days Ago
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Vilnius, Vilniaus miesto savivaldybė, Vilniaus apskritis, LTU
In-Office
3K-5K Annually
Mid level
Information Technology
The Role
Design, build, and maintain scalable data pipelines; collaborate with data scientists and analysts to meet business needs; optimize workflows for performance; ensure data quality via validation, testing, and monitoring; identify automation opportunities to streamline data processes.
Summary Generated by Built In

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  1710 - 4200            

Senior Analyst: EUR 2100 - 4700

Team Lead: EUR 2500 - 5300        

Associate manager: EUR 2900 - 6900

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.

#LI-EU

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Proven experience designing, building, and maintaining data pipelines (e.g., using Apache Spark, Apache Kafka, or similar).
  • 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 with relational and non-relational databases.
  • Ability to optimize data workflows for performance, efficiency, and reliability.
  • Must currently hold an EU work permit and be available to start within 1 to 3 months of receiving an offer.
  • Experience with data modelling and database design.
  • Experience with DataOps practices, version control, CI/CD, and automated testing.
  • Experience with big data technologies such as Hadoop, Hive, HBase.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with data application tuning and performance improvement techniques.

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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