Product Manager (PostgreSQL Ecosystem and Analytics) Job at Aiven Deutschland GmbH (Helsinki)

Engineering Manager (PostgreSQL DevEx & Analytics)

We are looking for an Engineering Manager to build and lead our PostgreSQL Devex...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

2+ years experience in a leadership position
5+ years of experience as a software developer
A bias for action — you move quickly from idea to experiment to delivery, avoiding excessive planning or analysis paralysis
Passion for developer experience—understanding the challenges developers face and turning them into elegant solutions
Comfort with fast, iterative delivery cycles — you default to experimentation over excessive planning and analysis
Understanding of what it takes to build high performing teams and to retain talent
A good understanding of database systems - knowledge on PostgreSQL is a big plus

Job Responsibility

Lead with Impact: Foster a culture of speed and agility — balancing quality with a bias for action and continuous learning
Drive Impactful Delivery: Be accountable for the team’s output and outcomes — ensuring deliveries are not just on time, but make a real difference in developer adoption and usability
Experiment & Iterate: Foster a culture of experimentation, where quick changes and developer feedback loops guide the team’s priorities
Shape the Strategy: Partner with product management to define and deliver the roadmap, bringing engineering insights and developer empathy into the vision
Build Developer-Centric Tools: Oversee the creation of user experience, APIs, integrations to the broader developer ecosystem, and workflows that reduce friction and accelerate app development
Champion Developer Efficiency - Ensure teams operate at peak effectiveness by removing friction, minimizing waste, and optimizing processes for consistent high performance
Grow the Team: Hire, mentor, and develop engineers who thrive in fast-moving, outcome-driven environments
Keep Developer Empathy at the Core: Stay close to developers through feedback loops, research, and hands-on usage of our tools

What we offer

Participate in Aiven’s equity plan
Balance work and life with our hybrid work policy
Choose the equipment you need to set yourself up for success
Use your Professional Development Plan budget for learning opportunities
Receive holistic wellbeing support through our global Employee Assistance Program
Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
Enjoy country-specific benefits for our global cast

Fulltime

Data engineer AI and Analytics - Vice president

We are seeking a highly skilled and forward-thinking Vice President to lead our ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of technology experience, with a significant track record in wealth management technology at leading financial institutions
Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server)
Extensive experience with analytical data platforms, data warehousing, and data lakes (e.g., Snowflake, BigQuery, Redshift, Hadoop ecosystem)
Hands-on experience with the data engineering aspects of AI/ML, including feature engineering, data preparation for model training, and deploying models into production pipelines. Familiarity with MLOps principles
Proven track record of designing, building, and operating mission-critical, real-time RESTful APIs at scale
Strong data modeling skills for both transactional and analytical use cases
Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
Proven ability to lead, mentor, and manage a high-performing engineering team
A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
The ability to maintain a holistic, end-to-end view of a complex data ecosystem, understanding the flow of data from real-time transaction to analytical insight

Job Responsibility

Unified Data Platform Ownership:Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the unified client and account data platform, encompassing both high-throughput OLTP systems and large-scale OLAP analytical stores
AI & Advanced Analytics Enablement:Pioneer the application of AI/ML models on core client and account data to generate actionable insights, identify patterns, and create intelligent features for advisor and client applications. Partner with data science teams to provide them with high-quality, curated data
Real-Time API Management:Oversee the entire lifecycle of the high-throughput, low-latency APIs that provide real-time data to advisor workstations, client-facing portals, and other critical applications, ensuring they are performant, reliable, and secure
Data Integrity & Scale:Take ultimate responsibility for the integrity, availability, and performance of massive volumes of data across both transactional and analytical systems
Measurement & Analytics:Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, from database performance and API latency to data quality and the efficacy of AI models
End-to-End Ecosystem View:Serve as the subject matter expert for the entire client and account data ecosystem, from the foundational OLTP databases and real-time APIs to the analytical data warehouses/lakes and the AI/ML models they feed
Technical Strategy:Partner with global architects and business leaders to define the technical roadmap for the core data platforms, including strategies for data replication, ETL/ELT processes, and the integration of AI/ML capabilities

Fulltime

New

Senior Software Engineer

About this role: Wells Fargo is seeking a Senior Software Engineer

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

June 08, 2026

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Core Java: Deep expertise in Java 11+, OOP principles, design patterns, concurrency, and memory management
Frameworks: Proficiency in Spring Boot, Spring MVC, Spring Security, Spring Data JPA/Hibernate
Microservices: Design and development of microservices architecture using REST and/or gRPC
Build Tools: Maven, Gradle
Testing: JUnit 5, Mockito, integration testing, TDD/BDD practices
Databases: SQL (PostgreSQL, Oracle, MySQL) and NoSQL (MongoDB, Redis)
query optimization
Messaging: Kafka, RabbitMQ, or similar event-driven systems
Cloud/Containers: AWS/Azure/GCP services, Docker, Kubernetes/OpenShift

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Fulltime

Fullstack Developer Lead Vice President

This role is a senior level position responsible for establishing and implementi...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Apps Development or systems analysis role
5+ years of professional experience in software development, with at least 3 years in a full-stack role
5+ years and strong proficiency in Java development, including Spring Boot, Spring Framework, and related ecosystem
Expert-level skills in ReactJS and its core principles, along with experience in popular React workflows (such as Flux or Redux) and component libraries
Demonstrable experience with RDBMS (e.g., PostgreSQL, Oracle, MySQL), including advanced SQL, schema design, and performance tuning
Solid understanding and hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB), including data modeling and query optimization for these systems
Proven experience with CI/CD application delivery management, including tools like Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or similar
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
Excellent problem-solving, analytical, and communication skills
Ability to work effectively in an agile development environment

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Head of Data Engineering

Radix is revolutionizing how the multifamily world makes decisions. From investm...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, analytics engineering, or closely related disciplines operating production grade data systems at scale
Deep expertise with Databricks or comparable modern data platforms including Spark optimization, orchestration, governance, Unity Catalog or equivalent tooling, and cluster management
Strong experience with dbt including advanced modeling patterns, semantic layers, MetricFlow, testing strategies, and analytics engineering best practices
Hands on experience building pipelines from MongoDB, PostgreSQL, and third party APIs with a deep understanding of source system behavior, data modeling, and reliability concerns
Strong proficiency in Python for pipeline engineering, transformation logic, automation, and developer tooling
Experience with modern open table and columnar storage formats including Delta Lake, Apache Iceberg, and Parquet
Strong AWS knowledge across services that support modern data infrastructure including S3, Glue, Lambda, IAM, VPC, and compute services
Infrastructure as code mindset with Terraform or comparable tooling alongside experience implementing CI/CD, automated testing, deployment workflows, and safe release practices for data platforms
Familiarity with orchestration, observability, and data quality tooling including Airflow, Dagster, Great Expectations, Soda, Monte Carlo, or similar platforms
Understanding of both batch and streaming data patterns including awareness of technologies such as Kafka and Kinesis

Job Responsibility

Lead, coach, and grow a high performing team of data engineers while remaining deeply hands on in architecture, development, and operational excellence
Own the architecture, scalability, governance, cost optimization, and operational health of the Radix data platform built on Databricks and AWS
Design, build, and maintain reliable ETL and ELT pipelines that transform data from MongoDB, PostgreSQL, APIs, and additional source systems into trusted analytics ready models
Define and enforce data contracts, modeling standards, testing coverage, schema expectations, and quality practices that create trust and consistency across analytics, product, and AI systems
Own and evolve the dbt environment including project architecture, semantic definitions, modeling conventions, MetricFlow strategy, documentation standards, and analytics engineering best practices
Build and scale the semantic layer that powers Radix AI products, enabling conversational data experiences, natural language query capabilities, and trusted LLM consumption
Architect and manage the MCP based data exposure layer that governs how AI agents access, retrieve, and interact with enterprise data safely and reliably
Establish production grade observability across pipelines and workflows including lineage, monitoring, anomaly detection, alerting, operational runbooks, and incident prevention practices
Drive infrastructure as code and CI/CD best practices across the data ecosystem using Terraform, automated testing, deployment gates, rollback strategies, and deployment automation
Evaluate emerging AI, semantic layer, and analytics tooling while making principled build versus buy decisions that support long term scalability, developer productivity, and platform maturity

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Uncapped Paid Time Off
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Fulltime

Java Developer

The Java Developer - Assistant Vice President is a hands-on technical role withi...

Location

Ireland , Dublin

Salary:

71440.00 - 107160.00 EUR / Year

Citi

Expiration Date

Until further notice

Requirements

Must have strong, hands-on 6+ years experience with Java (17+ preferred) and the Spring ecosystem, including Spring Boot, Spring MVC, and Hibernate
Must have strong, hands-on 3+ years experience with Python for data processing and application development
Extensive hands-on experience with Apache Kafka, including topics, producers, consumers, and stream processing
Deep understanding and practical experience with the Linux operating system
Proven experience with containerization technologies, particularly Docker and an orchestrator like Kubernetes
Strong experience with both NoSQL and RDBMS databases, including data modeling and query optimization
In-depth knowledge and practical application of CI/CD processes and tools (e.g., Jenkins, GitLab CI, Tekton)
Proven experience working in an Agile/Scrum development environment with a strong understanding of its principles, practices, and theory
Excellent analytical, problem-solving, and leadership skills
Strong understanding of distributed systems and microservices architecture

Job Responsibility

Design, develop, test, and deploy high-quality, scalable software applications using Java and Python
Build and maintain real-time, event-driven data pipelines and streaming applications using Apache Kafka
Work extensively with a variety of data stores, including NoSQL (e.g., MongoDB, Cassandra) and RDBMS (e.g., PostgreSQL, Oracle) databases, ensuring optimal data models and performance
Utilize containerization technologies such as Docker and Kubernetes, OpenShift to package, deploy, and manage applications in a microservices architecture
Implement, manage, and improve CI/CD pipelines to automate build, test, and deployment processes, ensuring rapid and reliable delivery of software
Operate effectively in a Linux-based environment, including shell scripting and system-level troubleshooting
Actively participate in Agile/Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives
Provide on-call support for production jobs and applications, ensuring timely resolution of issues and maintaining system stability
Collaborate with product managers, architects, and other engineers to define requirements, design solutions, and deliver new features
Proactively identify and resolve performance bottlenecks, bugs, and other technical issues

What we offer

business casual workplace
hybrid working model (up to 2 days working at home per week)
competitive base salary (annually reviewed)

Fulltime

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Platform Technical Lead – Data, MLOps & Virtualization

Location

Greece , Athens

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
8-10 years of experience in enterprise database operations, administration, and migration programs within complex production environments
Strong technical expertise across relational and modern data platforms, including technologies such as DB2, PostgreSQL, MongoDB, and cloud-native database ecosystems
Hands-on understanding of MLOps and machine learning platform operations, including Kubernetes-based environments and technologies such as Kubeflow, Pachyderm, Ray, Python, and GPU-enabled platforms
Strong experience with enterprise virtualization and infrastructure engineering technologies, including Hyper-V, VMware, SCVMM, Azure Arc, HPE Synergy, OneView, and backup/recovery tooling
Proven ability to lead complex technology transitions, modernization initiatives, and operational transformation programs
Strong understanding of disaster recovery, backup strategies, operational resilience, recoverability testing, and service continuity practices
Experience coordinating vendors, infrastructure teams, cloud/platform engineers, and operational stakeholders in enterprise environments
Strong analytical, troubleshooting, stakeholder management, and communication skills
Ability to balance operational reliability with modernization and platform evolution objectives

Job Responsibility

Lead the operational and engineering roadmap across database platforms, MLOps environments, and virtualization infrastructure
Drive the transition from legacy database technologies toward modern platforms such as PostgreSQL, MongoDB, and emerging cloud-native data services while ensuring production stability and service continuity
Own the operational readiness and reliability of MLOps platforms, including deployment governance, observability, platform resilience, and coordination with Kubernetes and cloud engineering teams
Lead virtualization and infrastructure modernization initiatives, including Hyper-V adoption, VMware transition activities, HPE hardware lifecycle management, and backup/disaster recovery governance
Act as the escalation point for critical incidents, complex migrations, disaster recovery testing, service restoration, and major engineering activities across the supported technology towers
Ensure platform dependencies across infrastructure, databases, and ML operations are managed proactively and aligned with operational and engineering objectives
Coordinate with vendors, infrastructure teams, cloud engineers, and operational stakeholders to ensure platform performance, recoverability, and long-term sustainability
Drive continuous improvement initiatives focused on automation, resilience, monitoring, scalability, and operational excellence
Contribute to technology transition planning, capacity management, modernization roadmaps, and service improvement strategies
Maintain and promote engineering standards, operational governance, and production readiness practices across all managed platforms

What we offer

Health insurance for the employee and one dependent family member (100% paid by NTT DATA)
Meal vouchers of 120€ per month (x12)
Corporate mobile phone: subscription & device
Teleworking equipment allowance
Udemy Account
Access to Open Up mental health service
28 days of paid annual leave consisting of your legal holidays and compensation days

Fulltime

Select Country

Product Manager (PostgreSQL Ecosystem and Analytics)

Job Description

Job Responsibility

Requirements

What we offer

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