Senior Data Engineer

ABOUT THE COMPANY

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

ABOUT THE CLIENT

Leading global financial services provider, specializing in insurance, asset management, and banking solutions. With a strong presence across multiple markets, they are committed to delivering innovative and customer-centric services that drive financial security and growth. The company is known for its commitment to sustainability, digital transformation, and leveraging cutting-edge technologies to enhance the customer experience. Their focus on innovation and operational excellence makes them a key player in the financial services industry, constantly adapting to the evolving needs of their clients worldwide.

ABOUT THE ROLE

As a Senior Data Engineer, you will be responsible for the development, maintenance, and optimization of Python-based ETL pipelines, specifically designed to manage global commercial insurance data. Working within the Microsoft Azure environment, including Synapse and PowerBI, you will drive the planning, capacity management, and proactive oversight of service components. Your role will involve coordinating complex server infrastructure, databases, and software maintenance while adhering to Allianz Technology standards. You will collaborate with cross-functional teams to ensure efficient service management, monitoring, and SLA adherence, while also supporting risk assessments and audits. Documentation and process optimization are key elements of this role, as well as the coordination of releases, upgrades, and changes with stakeholders.

RESPONSIBILITIES

• Development of new functionality in the Python-based ETL pipeline

• Maintenance and optimalization of the existing pipelines

• Plan capacity and sizing of the service components, proactive cloud component management

• Initiating planning and set up of new service components

• Coordinate the operations and maintenance of related software, complex server infrastructure and databases (Synapse, PowerBI, Local development)

• Maintain service related documentation according with Allianz Technology standards

• Monitoring and SLA Management

• Document, maintain and optimize processes and configurations related to the environments

• Coordinate with various stakeholders in development, architecture, rollout and operations teams as well as with customers for releases/upgrades/changes

• Manage and support service related risk assessments and audits

REQUIREMENTS

• Preferably at least 5 years’ experience in data engineering

• At least 2 years’ experience with data oriented Python (Polars, Pandas, Pyspark,…)

• At least 1 years’ experience with Microsoft Azure

• Solid understanding of cloud architecture

• ITIL

• Experience with software as a service concept

• Strong analytical skills

• Organizing abilities

• Strong customer focus

• Can rapidly adapt and respond to changes in environment and priorities

• Advanced English is a must

• Excellent communication skills with high customer focus

Nice to have:

• Experience with Synapse, Delta Lake and/or PowerBI

• Experience in Bl Projects

• Familiarity with DevOps processes

• Familiarity with DataVault 2.0
  

WHAT WE OFFER

• Learning opportunities with compensated certificates, learning lunches, and language lessons.

• Opportunity to switch projects after one year.

• Team building and victory celebration compensation every quarter.

• Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.

• Remote work opportunities.

• Flexible time off depending on the project.

• Seasonal activities with colleagues.

• Health insurance for Lithuanian residents.

• Referral bonuses.

• Loyalty days.

• Recognition of important occasions in your life.