Senior Data Engineer with Java/Scala at Accesa RaRo

Cluj-Napoca, , Romania -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Java, Scala, SQL, Relational Databases, Microservice Architecture, Cloud Services, Google Cloud Platform, Bash Scripting, Agile Methodologies, Test-Driven Design, Data Transformation, Infrastructure Design, Process Optimization, Automation, Big Data

Industry

IT Services and IT Consulting

Description

Company Description Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth. A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions. With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community. Job Description The client you will be working for is a market leader of the German banking industry. The purpose of the project is to ingest data from various source systems to Google Cloud Platform, within an agile team of Data Engineers with Scala/Java (ranging from junior to senior level). The project is currently undergoing a migration from a Scala‑based solution to a Java‑based implementation built around a microservice architecture. Responsibilities: Drive Data Efficiency: Create and maintain optimal data transformation pipelines. Master Complex Data Handling: Work with large, complex financial data sets to generate outputs that meet functional and non-functional business requirements. Lead Innovation and Process Optimization: Identify, design, and implement process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for higher scalability. Architect Scalable Data Infrastructure: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using open-source technologies. Collaborate with Cross-Functional Teams: Work clients and internal stakeholders, including Senior Management, Departments Heads, Product, Data, and Design teams, to assist with data-related technical issues and guide their data infrastructure needs Qualifications Must have 8+ years of experience in a similar role, preferably within Agile teams Strong experience with object-oriented programming languages, especially Java or Scala In-depth knowledge of the Java ecosystem, including frameworks such as Spring, Spring Boot, and Spring Data, as well as associated patterns (e.g. SOLID principles, Design Patterns) and API-driven development Proficiency in SQL and experience working with relational databases such as MySQL or PostgreSQL Experience with Bash shell scripting in a Linux environment Familiarity with cloud service providers, especially Google Cloud Platform; Azure or AWS are also acceptable Solid understanding of microservice architecture Experience with test-driven design (TDD) Willing to develop How to work with data using Java and to further develop skills in data engineering Exposure to Terraform and CI/CD pipelines (Jenkins or similar) Interest in GCP services (Dataproc, BigQuery, Pub/Sub, Cloud Functions) Working knowledge of highly scalable big data datastores Additional Information Additional information Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion. Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club. Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us. Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance. Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests. Department: Core Technologies | Data & AI

Responsibilities

The role involves creating and maintaining data transformation pipelines and working with complex financial data sets. Additionally, the engineer will lead process improvements and architect scalable data infrastructure.