Data Engineering Chapter Lead for Risk and Compliance Tribe

AWS Leadership Data Engineer Python ETL Risk

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Risk and Compliance Tribe is playing a major role in Risk Management and Compliance processes by providing Data, Software, and Infrastructure solutions.

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

We believe taking risks is crucial in banking, and we’re committed to changing how we handle them. This is your opportunity to make a real impact on your personal and professional journey. The Risk and Compliance Tribe brings together business and IT professionals into cross-functional squads and enables us to work in a truly agile organization. Each of these squads is a self-organized team, empowering its employees to take their own decisions while working on the end-to-end delivery of products and services.

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 and Product Owners participate in Leadership Team in the Tribe, creating a collaborative environment through empowering leadership
Define best data engineering practices in the Tribe through collaboration with Chapter Area Lead 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 the most complex solutions

About you:

5+ years of experience working as a Data Engineer with a good understanding of ETL processes, relational databases, and data modeling
Ideally, you have been a leader with an engineering background for some years or at least have a strong inner drive to lead a team of engineers and grow your leadership skills
Strong proficiency in programming languages such as Python, Java, or Scala
Experienced in working with ETL tools like SSIS, IBM Data Stage, Informatica, Alteryx, AWS Glue, etc. to develop data pipelines ingesting data from structured/semi-structured data sources
Experience with managing infrastructure, servers, and clusters on on-prem cloud platforms and public ones such as AWS, GCP, or Microsoft Azure
Excellent problem-solving and communication skills, ability to explain IT lingo to non-technical colleagues in a simple manner
Advanced English language skills

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.