Ness Digital Engineering

Backend Engineer

• building new backend applications
• participate in product development activities
• support the culture of total quality and lead it by example

Senior Java Streaming Engineer

QA Engineer

• contributing to the automation testing scope of projects
• scripting and executing each user cases in accordance with the requirements
• running manual tests when required
• team participation
• working closely with your SCRUM team to complete sprint work in the given timeframe
• working closely with the development and QA team to understand and validate the requirements
• ensuring quality standards are met for any changes deployed
• testing across web and mobile environments
• interacting with member across our whole development team

SAP Automation Tester

SDET

• Coding of software by following agile development methodology
• Focus on the high quality of delivered code by unit test coverage
• Collaboration with Tech Lead/Architect
• Participation in overall project planning
• Kanban or other Agile methodology knowledge
• Understanding of software development lifecycle and best practices

Junior QA Automation Engineer

• Collaborate on various projects using Python and Databricks
• Work on security management and system monitoring tasks
• Contribute to code lifecycle and transport methods
• Support multi-layer environment development.

Administrative Analyst, Python

Full-stack Engineer

• Design and implement project tasks according to specifications and planning
• Involvement in code review phase
• Propose best technical solutions based on best-practice

Fullstack Software Engineer

Data Engineer

• Design, develop, and maintain interactive Power BI dashboards and reports
• Implement advanced DAX calculations for business KPIs and metrics
• Develop optimized data models (star/snowflake schema)
• Write and tune complex SQL queries for analytical workloads
• Implement Power BI security models (Row-Level Security – RLS)
• Enable self-service BI through reusable datasets and certified semantic models
• Collaborate with business stakeholders to translate requirements into BI solutions
• Perform performance optimization of reports and datasets
• Integrate Power BI with cloud-based data platforms
• Ensure adherence to data governance, quality, and best practices

Senior Data Engineer

Administration

• Oversee management, configuration, and support of Microsoft 365 environment
• Ensure smooth operation, security, and optimization of all Microsoft 365 services
• Manage user accounts, permissions, and licenses
• Implement security policies and ensure compliance
• Provide technical support and training to end-users
• Document configurations, procedures, and changes

Microsoft 365 Cloud Administrator

Growth Marketing

• Conduct market and customer analyses to uncover trends, identify growth opportunities, and shape business models.
• Design and execute go-to-market strategies and support in crafting value propositions
• Manage and setups Campaigns such as Google Ads, Meta, Linkedin and CRM.
• Plan and optimize campaigns to drive acquisition and retention
• Run A/B testing and growth experiments for venture ideation & validation
• Conduct web analytics using tools such as Google Analytics
• Implement basic tracking setups with Google Tag Manager to ensure proper conversion measurement and funnel tracking.
• Analyze marketing performance data, extract actionable insights, and continuously optimize for ROI.
• Collaborate with interdisciplinary teams including strategy, design, product, and tech.
• Present key insights, learnings, and recommendations to founders, clients, and leadership teams.
• Manage relationships with agencies and freelancers to execute digital campaigns and market tests.

Senior Growth Marketing Manager

Insurance

• Define and own the MuleSoft integration architecture
• Design and implement CloudHub-based integration solutions
• Develop and enforce API governance, standards
• Lead the MuleSoft platform strategy
• Partner with business and IT stakeholders
• Design integration patterns for core insurance use cases
• Guide teams on API design, error handling, security
• Collaborate with Salesforce and data platform teams
• Mentor MuleSoft developers

MuleSoft Platform & Integration Architect – CloudHub, Insurance Domain

Engineer

• Build and maintain real-time data pipelines using Kafka compatible platforms such as Redpanda, Confluent, MSK and Apache Kafka;
• Implement streaming and integration pipelines using Redpanda Connect, Kafka Connect or similar frameworks;
• Develop event-driven integrations between microservices, databases, SaaS systems and data platforms;
• Implement transformations, filtering, enrichment and routing logic in streaming pipelines;
• Configure topics, partitions, consumer groups and basic schemas;
• Integrate streaming platforms with downstream systems such as data lakes, data warehouses and analytics platforms;
• Support production environments including monitoring, troubleshooting and performance tuning;
• Work closely with senior engineers, platform teams and application teams to deliver end-to-end solutions.

Data Streaming Engineer

Salesforce Analyst

• Lead requirements gathering sessions with investment teams, portfolio operations, finance, and cross-functional business stakeholders
• Translate business needs into detailed user stories, acceptance criteria, and functional specifications using tools like JIRA
• Document As-Is and To-Be process flows, data models, and system touchpoints using Confluence or similar documentation platforms
• Maintain and groom the product backlog, ensuring alignment with business priorities and overall roadmap
• Conduct impact assessments and feasibility studies for new features and enhancements
• Recommend scalable Salesforce solutions leveraging Sales Cloud, Service Cloud, Experience Cloud, Flows, Approval Processes, and platform automation features
• Work closely with technical teams through the development lifecycle, ensuring requirements are correctly implemented
• Develop UAT plans, create test scenarios, coordinate UAT cycles with business users, and track issues to closure
• Manage release readiness tasks, ensuring deployment documentation is complete and stakeholders are trained
• Define meaningful dashboards and reporting requirements for pipeline visibility, portfolio monitoring, and operational insights
• Act as the bridge between business users and the Salesforce technical team
• Facilitate cross-functional alignment, ensuring prioritization and dependencies are clearly understood
• Provide transparent communication on progress, risks, and changes
• Contribute to sprint ceremonies (refinement, planning, demo, retro) in agile delivery environments

Salesforce Business Analyst

Software Engineer

• Lead a team of Salesforce developers and administrators to design and implement scalable, high-performance solutions on the Service Cloud platform.
• Serve as the technical lead for the full lifecycle implementation of Service Cloud projects, from requirements gathering and solution design to development, testing, and deployment.
• Develop custom solutions using Apex, Visualforce, and Lightning Web Components (LWC) to extend and customize Service Cloud functionality.
• Configure and manage core Service Cloud features, including Case Management, Email-to-Case, Web-to-Case, Knowledge Base, and Omni-Channel.
• Design and build complex integrations between Salesforce and other internal/external systems using REST/SOAP APIs.
• Mentor junior developers, providing technical guidance, code reviews, and promoting best practices in Salesforce development.
• Collaborate with business stakeholders, project managers, and business analysts to understand requirements and translate them into technical solutions.
• Stay current with the latest Salesforce releases and technologies, and recommend improvements to optimize our Service Cloud implementation.
• Troubleshoot and resolve complex technical issues, ensuring the stability and performance of the platform.

Salesforce Service Cloud Lead Developer

• Involved in technical design, architecture, and implementation of solutions across platforms including Mendix, Java/Python, and SQL.
• Collaborate with product owners, business stakeholders, and cross-functional teams to understand requirements and translate them into robust, scalable designs.
• Good understanding of modernization and migration/refactoring of legacy systems to modern architectures and frameworks.
• Ensure optimal use of multi-threading and concurrency techniques to deliver high-performance server-side applications.
• Deliver quality code adhering to best practices & standards.
• Design and optimize data models and queries for asset allocation and trade execution workflows.
• Maintain strong alignment with business needs and compliance requirements in a fast-paced financial services environment.

Senior Engineer

Business Intelligence Developer

• Expertise in designing, development and deployment of Power BI reports and dashboards based on business requirements
• Hands-on experience on data models, data transformations and quality
• Should be able to optimize and troubleshoot performance and technical issues
• Experience with SQL and relational databases
• Strong understanding of data warehousing and data modeling concepts
• Ability to work on implementations that execute in agile model
• Strong verbal, written and interpersonal skills
• Tableau reports and dashboards development experience
• Experience with other BI tools (e.g. QlikView)
• Advanced analytics knowledge

Lead BI Engineer

Architect

• Work on Pega development and architecture projects
• Lead large or complex Pega implementations
• Collaborate with clients to develop roadmaps for digital solutions
• Engage with internal teams to enhance enterprise systems.