Data Engineer in Data Quality Team

Danske Bank Lithuania

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At Danske Bank, our Data Platform Tribe within Technology Services / Data & Functions specializes in delivering centralised enterprise reporting and analytics. We leverage cutting-edge Data Warehouse, Hadoop, and Cloud technologies across various banking domains.

We are seeking a skilled Software Engineer to join our dynamic and collaborative Data Quality squad. In this role, you will help transform our data landscape by leading the development of a robust Data Quality Framework across Data Warehouse, Big Data, and Cloud platforms. This framework will guide data quality management across the organisation.

You will have the opportunity to implement state-of-the-art Data Quality and Lineage tools, enabling seamless data monitoring, profiling, and cleansing. Additionally, you will help establish a streamlined process for identifying, escalating, and resolving data quality issues, ensuring precision at every stage.

Join us on this exciting journey to enhance Danske Banks data quality capabilities. Together, we can innovate data solutions at Danske Bank.

Our modern office in Vilnius provides an inspiring work environment, and we support a flexible hybrid work modelwith at least three days in the office each week. Be part of a diverse team where innovation and collaboration thrive!

You will:

Design and Develop: Lead the design, construction, installation, testing, and maintenance of advanced data quality management frameworks
Data Quality: Recommend and implement processes for ensuring data quality, lineage, and reconciliation
Collaboration: Partner effectively with Data Warehouse, Big Data, and Cloud infrastructure teams across multiple projects
Identifying and fixing: Diagnose and resolve complex data quality incidents with expertise
Optimisation: Improve system performance through rigorous testing, troubleshooting, and the integration of new technologies
Continuous Learning: Stay updated with technology trends, applying the latest advancements to current and future solutions
Data Pipeline Management: Develop and oversee sophisticated data pipelines and workflow management systems
Data Security: Ensure all systems align with industry standards and business requirements for accuracy, security, and privacy

About you:

Experience: 4+ years of experience in Data Engineering
SQL Expertise: Proficiency in SQL for complex query writing, database design, and optimisation in large-scale SQL databases
Python and Data Engineering Tools: Advanced programming skills in Python, Spark, PySpark, and experience with CI/CD (Azure DevOps), Airflow, and data wrangling for data manipulation, scripting, and automation tasks
Hadoop and Cloud Proficiency: In-depth experience with Hadoop ecosystems, including tools such as HDFS and Hive, for managing and analysing large datasets
Data Architecture and Pipelines: Ability to design and build scalable data pipelines and frameworks for data collection, processing, and storage. Experience with real-time data processing technologies would be beneficial
Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and implement effective solutions
Agile Mindset: Understanding of and preference for working in an agile environment
Collaboration and Continuous Learning: Strong teamwork and communication skills. Eagerness to stay updated with the latest advancements in data technologies and apply them to enhance current systems
Upper-intermediate English skills

We offer

Monthly salary range from 3440 EUR to 5160 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package which includes:

Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.
Additional days of vacation
Health insurance
Canteen services and free fruits
Free parking & charging ports - cars, bicycles, e-scooters

Mėnesinis bruto atlyginimasBruto/mėn. € 3440 - 5160

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Data Engineer in Quality Team

In Danske Bank Lithuania we gathered smart, innovative and open colleagues with can-do mindset, who are reimagining banking services and creating an ingenious product portfolio, and at the same time ensure smooth daily operations of the entire Danske Bank Group.

Consider us as the engine of the bank while we do not provide banking services to customers in Lithuania, we are the brain and muscle behind many of Danske Banks services to our global customers. Our high-quality delivery and can-do approach led us to becoming a strategic site for Danske Bank, an international community of 22,000+ colleagues worldwide.

Danske Bank Lithuania is Danske Banks strategic unit, providing finance, IT and global business services to serve our customers worldwide. We are on a journey to push the banking boundaries and make constant improvements in how we operate. We aim to do this by combining the best of two worlds: the strengths of what Danske Bank has built over 150 years and the approach of start-ups to what we are going to create in the future.

We see diversity as our potential, and the cornerstone of our companys success, that will ensure our continued competitiveness and innovative strength.

We try to create an inclusive workplace where differences are our strengths and where people feel valued and can realise their full capabilities.

Because of that, the critical focus point for us is to be able to recruit, develop and retain employees without attaching any specific labels to them.