Big Data Engineer - Analytics

Company Description

Writing the future. Together.

Avaloq is a value driven, fast-paced financial technology and services company and we are committed to developing the banking solutions of tomorrow.

By joining Avaloq, you’ll become a key part of our effort to power the digital transformation of the financial services industry. Our ambition is big and bold – to provide full end-to-end digital solutions by combining our leading efficiency with a flexible, responsible digital user experience. Headquartered in Zurich, Avaloq has over 2,000 employees globally. More information is available at www.avaloq.com

Job Description

Your team

We are the Analytics domain teams helping financial institutions to easily adopt and use, as well as gather and analyze data from our Avaloq products, within a wide ecosystem. We believe our colleagues comes first, thinking different is an asset and innovation comes by putting customer experience first in our design thinking.

We are looking for a strong resource who has both business acumen and technical experience, to become part of these domains, driving the interactions and collaboration with existing and potential clients.

Your mission

• Closely collaborate with the Product Owner, Business Analysts and other Software Engineers distributed worldwide
• Implement Data Pipelines in Java
• Implement Data Analytics - Big data exploration, extraction, processing and ingestion to different SQL and NonSQL storage systems
• Design, develop and maintain new/existing solutions within the team’s responsibility
• Improve and optimize existing functionalities
• Develop and maintain automated tests
• Take ownership and responsibility for your area of expertise
• Ensure high quality on the delivery and efficient communication

Qualifications

What you need:

• University degree in Computer Science/Physics/Engineering/Mathematics or comparable education
• At least 2-3 years of work experience in the fintech or financial sector
• Practical experience implementing container platforms, preferably OpenShift / Kubernetes
• Familiarity in streaming technology like Kafka, Kafka Connect
• Analytical, problem solving and conceptual skills
• Competent in one or more programming and scripting languages
• Fluent in spoken and written English
• Experience in Big Data / Data Analytics productive environments, using technologies such as distributed SQL engines / file systems
• Experience in Stream Processing, Streaming Data, and Data Pipelines

You will get extra points for the following:

• Experience with Distributed SQL engines
• Experience in implementing Microservices
• Hands-on experience with Snowflake
• Understanding of data visualization using software like Tableau, Qlik, PowerBI, Yellowfin
• Practical experience on Infrastructure as code like Terraform
• Banking know-how or experience working on financial solutions
• Knowledge of JavaScript and Python
• Work Experience in team with Agile Scrum
• Expertise in data warehousing, modelling and data management tools
• Knowledge and experience on Avaloq Banking Suite

Additional Information

Now lets talk about perks and compensation

We offer high flexibility in regards to working models (e.g. part time and home office models are possible depending on business requirements). Our base salaries are competitive and if you prove to be a superstar, you might even be entitled to an extraordinary achievement reward. Avaloq aims to share its success with all its employees by paying out “Success Share Units” depending on its performance in a given year.

At Avaloq we embrace diversity, we embrace difference. We are whole-heartedly committed to equal employment opportunities and we foster an inclusive culture where everyone’s' contributions are valued and their voices are listened to. We hire, compensate and promote regardless of origin, age, sexual orientation, gender identity or any other fascinating characteristics that make us different. Please note that our job descriptions are intended to be written in an inclusive and gender neutral language.

Don’t be shy – apply!
 
Please only apply online. 

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.