Data Engineering Chapter Lead for Finance Tribe

AWS DataEngineer ETL Finance Leadership Python

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Finance Tribe enables efficient management of Danske Bank’s financial position and resources by providing high quality data via modern technology solutions across all financial domains.

You will join a Great Tribe of developers, BI & Data Engineers, DevOps, IT Systems Analysts and Business Analysts, Architects – all working in a cross-functional and self-managed agile squads.

Currently we are looking for a Chapter Lead that will join our Tribe and lead a matured team of Data Engineers. Being a Chapter Lead in our Tribe provides good balance of leadership and engineering – it includes leading, mentoring, and growing engineers in the chapter, but also at the same time you will be able to have hands on deliveries in squad keeping your engineering skills sharp. Moreover, we are on Turning to New Tech path – this brings new opportunities to be the part of our data and its processing modernization journey.

You will:

Be responsible for growing and developing a team of skilled Data Engineers, taking accountability for their professional and personal growth
Together with other Chapter Leads lead the Tribe in creating a collaborative and high-performance environment through empowering leadership
Define best data engineering practices in the Tribe through collaboration with other Chapter Leads, Architects, Engineers and Data Engineering Guild
Design, build, and maintain ETLs and infrastructure required for data processing, analysis, and integration across various systems
Collaborate with cross-functional teams to identify and implement system improvements and new features
Act as a subject matter expert in the Tribe for Data Engineering related questions consulting other squads and engineers on most complex solutions

About you:

5+ years of experience working as a Data Engineer with strong understanding of ETL processes, relational databases, and data modelling
2+years of experience as a leader in a engineering field
Strong proficiency in programming languages such as Python, Java, or Scala. Python is preferred
Experience in working with ETL tools like SSIS, IBM Data Stage, Informatica, AWS Glue etc. to develop data pipelines ingesting data from structured / semi-structured data sources. AWS Glue is preferred
Experience with managing infrastructure, servers, and clusters on on-prem cloud platforms and public ones such as AWS, GCP or Microsoft Azure. AWS is preferred
Excellent problem-solving and communication skills, ability to explain IT lingo to non-technical colleagues in a simple manner
Advanced English skills, both written and spoken

We offer:

Monthly salary range from 5200 EUR to 7800 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: 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.