Data Engineer in Data Quality Team

Vilnius, Lithuania

Danske Bank

We are a Nordic bank with strong local roots and bridges to the rest of the world.

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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 Bank’s 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 model—with 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 know through experience that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results.”

We offer:

Monthly salary range from 3360 EUR to 5040 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.

See all the benefits HERE.

Your title in job contract will be IT Software Engineer (Data Engineer).

Hiring people who are smarter or more skilled in certain areas is key to success. It is important for me to surround myself with talented and capable individuals to drive innovation and growth within Danske Bank. If you're interested in this role and joining my team, feel free to contact me - Viktorija Griškevičienė on LinkedIn, and I will answer your questions!

Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.
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Category: Engineering Jobs

Tags: Agile Airflow Architecture Azure Banking Big Data CI/CD Data pipelines Data quality Data warehouse DevOps Engineering Hadoop HDFS Pipelines Privacy PySpark Python Security Spark SQL Testing

Perks/benefits: Career development Flex hours Health care Team events Travel

Region: Europe
Country: Lithuania

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