Senior Data Platform Engineer — Avaloq
- Location
- Bioggio
- Contract
- other
- Posted
- 3 days ago
Role overview
We are seeking a Senior Data Platform Engineer to design, build, and operate a scalable, secure, and governed data platform supporting security, audit, operational, and analytics workloads.
This role is primarily focused on data engineering and data platform development, including data architecture, ingestion pipelines, data modeling, quality controls, governance, and integration with analytics and security platforms.
The successful candidate will have strong experience designing and operating data platforms, building reliable batch and streaming pipelines, and managing large volumes of structured and semi-structured data.
- We are seeking a Senior Data Platform Engineer to design, build, and operate a scalable, secure, and governed data platform supporting security, audit, operational, and analytics workloads.
- This role is primarily focused on data engineering and data platform development, including data architecture, ingestion pipelines, data modeling, quality controls, governance, and integration with analytics and security platforms.
- Qualifiche
- 8+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field
Key requirements
- Qualifiche
- 8+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field
- Strong SQL expertise, including schema design, data modeling, query optimization, indexing, and performance tuning
- Experience designing and operating production-grade batch and/or streaming data pipelines
- Experience with large-scale data platforms and analytical data architectures Strong proficiency in Python and SQL
- Experience integrating data from multiple sources, platforms, APIs, and event streams
- Strong understanding of data quality, schema evolution, lineage, governance, and lifecycle management
- Experience with relational databases and analytical storage technologies
- Familiarity with CI/CD concepts and Git-based development practices
- Strong analytical, problem-solving, and troubleshooting skills
- Experience working with sensitive, security-relevant, or regulated data Preferred Qualifications
- Experience with Kafka or other streaming and messaging technologies
Application process
- The role requires close collaboration with security, infrastructure, and application teams to deliver trusted, high-quality data that enables monitoring, reporting, threat detection, compliance, and business insights. Your key tasks Data Platform Architecture
- Design and evolve scalable data platform architectures for security, audit, operational, and analytics data
- Define data storage strategies, schemas, data models, partitioning, retention, and lifecycle management approaches
- Evaluate and prototype new technologies and architectures to improve scalability, performance, and cost efficiency Data Engineering & Pipelines
- Design, build, and maintain batch and streaming data pipelines
- Develop robust ingestion frameworks for logs, audit data, application events, security telemetry, and operational datasets
- Implement data transformation, enrichment, normalization, correlation, and aggregation processes
- Ensure pipelines are reliable, scalable, observable, and resilient Data Modeling & Storage
Contacts
- 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
Additional details
- The role requires close collaboration with security, infrastructure, and application teams to deliver trusted, high-quality data that enables monitoring, reporting, threat detection, compliance, and business insights. Data Platform Architecture
- Evaluate and prototype new technologies and architectures to improve scalability, performance, and cost efficiency Data Engineering & Pipelines
- Ensure pipelines are reliable, scalable, observable, and resilient Data Modeling & Storage
- Support the implementation of data lake, warehouse, and lakehouse concepts where appropriate Data Quality & Governance
- Collaborate with analytics and reporting teams to improve data accessibility and usability Engineering & Automation
- Experience with large-scale data platforms and analytical data architectures Strong proficiency in Python and SQL
- Experience working with sensitive, security-relevant, or regulated data
- Working knowledge of Terraform and cloud-based data platforms It would be a real bonus if you have
- Security telemetry and audit-event processing SIEM and observability integrations
- Compliance and regulatory reporting datasets AI/ML-ready data platform architectures Informazioni aggiuntive
Notes and original content
- The role requires close collaboration with security, infrastructure, and application teams to deliver trusted, high-quality data that enables monitoring, reporting, threat detection, compliance, and business insights.
- Your key tasks
- Data Platform Architecture
- Evaluate and prototype new technologies and architectures to improve scalability, performance, and cost efficiency
- Data Engineering & Pipelines
- Ensure pipelines are reliable, scalable, observable, and resilient
- Data Modeling & Storage
- Support the implementation of data lake, warehouse, and lakehouse concepts where appropriate
- Data Quality & Governance
- Collaborate with analytics and reporting teams to improve data accessibility and usability
Questions about this listing
What salary does Avaloq offer for this role?
Avaloq lists CHF 79'500 - 135'000 gross per year for this position in Bioggio. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Avaloq offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Avaloq during the application process, since these details can vary by role even within the same contract category.
Do I need the G permit to apply for this role in Ticino as an Italian cross-border worker?
Yes, if you are resident in Italy within the 20 km border zone. The Swiss employer files the G-permit application at the Ticino cantonal migration office after the contract is signed — first issuance takes 2-6 weeks, then automatic yearly renewal for as long as the employment continues. Weekly return to your Italian home is required to keep the status. Note: this listing allows remote work — teleworking above 25 % of your time can shift your social-security base to Italy, so confirm the agreed remote share with HR before signing.
How do I apply for this position at Avaloq?
Use the "Apply now" button on this page — it links directly to Avaloq's original listing at avaloq.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
