Data Integration and Data Operations Analyst

AQMetrics is looking for a Data Integration and Data Operations Analyst to work with Customers and cross functional teams at AQMetrics to continuously improve our data management capabilities in our SaaS platform. This is an opportunity to make a difference in a growing company. We’re looking for an entrepreneurial individual who thrives on challenges and is looking for an opportunity to take AQMetrics data management products to the next level.

Who We Are:

AQMetrics is a leading provider of regulatory risk software to global financial institutions. Our SaaS platform is award-winning, and our range of products make regulatory risk management simple, secure, and globally compliant.

What We Value:

People First

Putting people first is at the core of everything we do. It compels us to make decisions based on what is best for our people — employees, partners, and customers.

Customer Delight

We are customer focused. We strive to provide the best in class, to drive great customer experience through teamwork and high performance.

Integrity

We are committed to professional integrity. We conduct our business to the highest standards with skill, diligence and responsibility. Professional trust, honesty and compliance are at the core of our culture.

Innovation

We value ideas and encourage innovation every day.

What you will do:

• Designing and Developing: Building and maintaining data pipelines that extract, transform, and load (ETL) data from various sources
• Data Integration and API Development : Implement integrations with internal and external data sources and APIs.
• Collaborating with Teams: Working with cross-functional teams to gather data requirements and understand data sources.
• Ensuring Data Quality: Implementing data quality checks and validation processes to maintain data integrity.
• Monitoring and Troubleshooting: Overseeing data integration workflows to resolve issues and optimize performance.
• Documenting Processes: Keeping detailed documentation of data integration processes, data flows, and system configurations.
• Troubleshooting and Optimization: Maintaining the AQMetrics database. 
• Staying Informed: Keeping up with industry trends and best practices in data integration and management.
• Providing Support and Training: Assisting end-users with data integration

• 2-5 years in a Data Engineer role
• Three days of in-office work per week is required
• Experience working collaboratively with application development teams to implement data mapping, data management and data integration solutions
• Good knowledge of database and data modelling techniques, and SQL proficiency.
• Experience troubleshooting databases and data issues using SQL
• Strong critical thinking skills and ability to analyse complex datasets
• Prioritization skills
• Focus on continuous improvement
• Storytelling skills. You can communicate your insights to your team, cross functionally and to Customers
• Linux experience and Shell scripting
• Experience with Amazon AWS and RDS
• BSc in Computer Science or Engineering degree, related technical discipline, or equivalent work experience
• Nice to have experience with data visualization tools
• Three days of in-office work per week is required

• Opportunity to be part of something special, AQMetrics is growing and we want you to be part of our journey
• People-centric culture
• Competitive salary
• Upskilling opportunities
• Employee Assistance Programme
• Pension scheme
• Healthcare for employees and their families
• Flexible working
• Bike to Work scheme
• Active social club with events throughout the year

What our Interview Process is Like:

Step 1- After you apply, our HR Manager may reach out to you for an introductory call

Step 2- If your background is a match for the role, you may be required to complete a technical assessment (role depended) and/or phone interview with 1-2 people

Step 3- If you continue through the process, you may be asked to come onsite to interview

AQMetrics is an equal-opportunity employer. We are committed to an inclusive and diverse AQMetrics.