Job Description

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.

Your key tasks

• Create and maintain data pipelines.
• Identify, design and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for scalability.
• Design, develop and deploy high volume ETL pipelines to manage complex and near-real time data collection.
• Help write and optimize in-application SQL statements.
• Ensure performance, security, and availability of databases.
• Handle common database procedures such as upgrade, backup, recovery, migration, etc.
• Collaborate with other team members and stakeholders.
• Prepare documentations and specifications.
• Mentor and provide technical guidance to the team, promoting best practices and knowledge sharing.
• Experience with agile development methodologies and version control systems is preferred



Qualifications

• Minimum Graduate in Mathematics, Business, Economics.
• 4+ years of experience in a Data role (Data Engineering preferred)
• Proven ability to work in a team environment, creating partnerships across multiple levels.
• Demonstrated drive for results, with appropriate attention to details.
• Microsoft Power BI experience preferred (Power Query, Modelling, DAX, Relationship & Security)
• SQL query language mandatory
• Proficient with Python
• Data Engineering (Extracting (relevant data), transforming (cleaning data), and loading (calculating & integrating) data from multiple sources to a single repository.) - Mandatory
• Using data and managing from RDBMS/ databases. Metadata, Taxonomies
• Prior experience with Fabric/Snowflake/Databricks is a huge plus.
• Strong analytical skills- prior experience of working on big data analytics projects - Preferred.
• Strong business acumen (of whichever industry the candidate belongs)
• Ability to multi-task and be proactive & independent in a dynamic environment.
• Highly motivated individual with excellent oral and written communication skills.
• Strategic and Critical approach towards solving problems and decision making.
• Results-oriented; proven ability to prioritize, drive and achieve results.



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.



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