Big Data Engineer- Analytics

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 160 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

Are you interested in shaping the next generation of Analytics, BI and Data Science driven solutions for the financial industry? Do you enjoy working in an agile teams? We’re looking for a Big Data Engineer to join the team and help shape the next generation of our data solutions for Wealth Management and Banking. Do you have experience in designing, developing, testing and maintaining Cloud Data Platforms, Data Pipelines and Data Management Systems? If so, we have an exciting opportunity for you!

Your key tasks

• You will be responsible for creating scalable and reliable data pipelines that ingest, process, and deliver data from various sources to our real-time data platform
• Closely collaborate with Product Managers, Data Scientists, Business Analysts and Software Engineers 
• Design, develop and maintain new data integration solutions

Qualifications

• Proficiency in Java, Python, SQL, and cloud technologies such as Snowflake
• Experience in productive Big Data and Data Analytics environments
• Experience in Stream Processing, Streaming Data, and Data Pipelines
• Experience with data modeling, data quality, and data governance best practices
• Fluent in spoken and written English

It would be a real bonus if you have

• A bachelor’s degree in computer science, engineering, or a related field
• At least 3 years of experience as a data engineer or a similar role
• Practical experience implementing container platforms, preferably OpenShift / Kubernetes and implementing Microservices
• Familiarity in streaming technologies like Kafka and Kafka Connect
• Understanding of data visualization solutions like Tableau, Qlik, PowerBI
• Practical experience on Infrastructure as code like Terraform
• Banking know-how or experience working on financial solutions
• Knowledge and experience on Avaloq Banking Suite

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. 

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. 

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. 

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

#LI-Hybrid