Assistant Accountant

Our client, is a well-established company operating in the technology, IT infrastructure, and systems solutions industry, delivering innovative solutions to a diverse portfolio of customers across Greece. Due to continued growth, the company is seeking an Assistant Accountant to join its Finance team, on-site at the Athens premises. Key Responsibilities Record and review accounting entries within the General Ledger Maintain and monitor accounts receivable, accounts payable, and cash transactions Verify, classify, and process financial documents, including invoices, credit notes, and expense records Monitor receivables and liabilities and perform account reconciliations Support inventory-related accounting entries and updates Support payroll related activities and entries (incl Ergani reporting) Ensure the accurate transmission and monitoring of transactions through MyData platform Liaise with suppliers, customers, banks, and internal stakeholders regarding accounting matters Contribute to process improvement initiatives and maintain accurate accounting records and archive Requirements Bachelor's degree in Accounting, Finance or a related field. 2-3 years of professional experience in an accounting position, ideally within a commercial or industrial environment Good understanding of Greek chart of Accounts, basic tax obligations, and MyData requirements Experience with ERP systems and accounting software, preferably Softone Advanced MS Office skills, particularly Excel English language proficiency Strong attention to detail, accuracy, and organizational skills. Ability to prioritize tasks and meet deadlines in a fast-paced environment. High level of integrity and discretion when handling confidential financial information Preferred Qualifications Experience with payroll administration and employment-related obligations. Familiarity with ERGANI, AADE, and other tax-related electronic platforms. Experience in invoicing, collections, payments, and bank reconciliations. What's on Offer Full-time, permanent position Competitive remuneration package based on experience and qualifications Participation in a private group medical plan Professional, organized, and collaborative working environment Opportunities for career growth and development within the Finance function

Role:Software Quality Assurance Engineer (SQA) Location: Chennai Experience: 3-7 Years Work Mode: Full-Time Employment Type: On Payroll Job Summary We are looking for an SQA Engineer with experience in software process compliance, CMMI, and ASPICE standards. The role focuses on process audits, quality assurance, documentation, and ensuring compliance across the software development lifecycle, particularly for automotive and embedded software projects. Key Responsibilities Implement and monitor CMMI ML2/ML3 practices across projects. Ensure compliance with ASPICE Level 2 processes and maintain required documentation and traceability. Conduct internal process audits, project audits, and gap assessments. Identify non-conformities (NCs), drive corrective actions, and track closure. Support process improvement, process training, and documentation. Track quality metrics and prepare compliance and release-readiness reports. Coordinate with Development, Testing, Project Management, and Configuration Management teams. Maintain process documentation using tools such as JIRA, Confluence, or Polarion. Mandatory Skills 3–7 years of experience in SQA, Process Engineering, CMMI, or ASPICE. Hands-on understanding of CMMI Dev v2.0 (ML2/ML3). Working knowledge of ASPICE Level 2 processes and work products. Understanding of SDLC, V-Model, and Agile methodologies. Experience in process audits, checklist creation, and non-conformity management. Strong analytical, documentation, and communication skills. Good to Have Automotive or embedded software experience. Knowledge of ISO 9001 and ISO 26262. Experience with JIRA, Confluence, or Polarion. Knowledge of Agile and ASPICE hybrid models.

Role: Diagnostic / XML Engineer Location: Pune Work Mode: Work from Office Experience: 5–8 Years Employment Type: Full-Time Budget: Up to ₹18 LPA Job Summary We are looking for a Diagnostic / XML Engineer with experience in XML-based configurations and automotive diagnostics. The role involves understanding diagnostic requirements, developing and maintaining XML configurations, and coordinating with development teams. Key Responsibilities Understand machine, ECU, and diagnostic requirements. Develop and maintain machine-specific XML configurations. Support automotive diagnostics, ECU flashing, and setup configurations. Analyse XML structures, schemas, and dependencies. Perform XML validation, troubleshooting, and defect analysis. Support new machine models and ECU configurations. Participate in UAT and pre-release/final-release activities. Maintain XML configuration documentation and baselines. Review development deliverables and provide technical support for field issues. Mandatory Skills XML development and configuration. XML Schema and configuration-driven applications. Automotive diagnostics. UDS, J1939, and CAN protocols. ECU flashing. Diagnostic tool concepts. Requirement analysis. Good to Have RP1210. Vector, PCAN, or VCI tools. Experience with dealer/service diagnostic tools. Experience with construction, agricultural, or off-highway equipment.

Role: Senior Backend & Linux Engineer Experience: 5–8 Years Location: Bangalore (Frequent travel to Pune) Employment Type: Full-time Job Summary We are looking for a Senior Backend & Linux Engineer responsible for maintaining PHP-based backend applications, managing Linux server environments, database operations, application deployments, and overall infrastructure support. Key Responsibilities Maintain and support PHP-based backend applications. Administer Linux servers and manage server environments. Handle SQL database operations and troubleshooting. Manage SVN repositories and configuration. Perform application deployments and releases. Manage backup, restoration, and disaster recovery activities. Monitor server and application performance and availability. Manage SSL certificates, security updates, and user access. Support vulnerability remediation and application security. Troubleshoot application and database connectivity issues. Maintain technical and operational documentation. Required Skills Strong experience in Linux Administration. Hands-on experience with PHP. Good knowledge of SQL and database operations. Experience with SVN repository management. Experience in server and application deployment. Knowledge of backup and recovery processes. Experience with application monitoring. User and access management. Good to Have Knowledge of web application security. SSL and certificate management. Experience with cloud/hosting environments. PHP API development. Disaster recovery and vulnerability management.

Role: Senior Software Engineer Experience: 8+ Years Employment Type: Full-time Work Mode: Hybrid Location: Mumbai/Bangalore Job Summary We are looking for an experienced Senior Software Engineer to design, develop, and maintain scalable applications involving API development, system integrations, data processing, and data-matching solutions. The candidate will be responsible for delivering reliable, secure, and high-performance software solutions. Key Responsibilities Design, develop, and maintain scalable application architecture and software solutions. Develop and implement REST APIs, integrations, and data models. Build data-processing, matching, reconciliation, and validation solutions. Implement data quality checks and confidence-scoring mechanisms. Collaborate with Product, Engineering, and Operations teams to understand requirements. Troubleshoot technical issues and optimize application performance. Ensure application security, scalability, monitoring, and production readiness. Follow engineering best practices and maintain technical documentation. Required Skills 8+ years of software engineering experience. Strong experience in Solution Design, API Development, and System Integration. Good understanding of scalable application development and system architecture. Experience with data processing, data matching, reconciliation, or analytics solutions. Knowledge of data models, data validation, and data quality. Experience working with cross-functional teams. Strong analytical, problem-solving, and communication skills. Bachelor's degree in Computer Science, Engineering, IT, or a related field. Good to Have Experience in FinTech, Banking, Payments, or Financial Services. Knowledge of card services and payment network integrations. Experience with cloud-based architectures, microservices, and DevOps. Familiarity with data governance and confidence-scoring models.

About the Role:You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.The Engineering Manager is accountable for engineering delivery, roadmap execution, operational excellence, and engineering team development. Partnering with Product Owners, Data Engineering & Analytics, Tech Leads, and peer engineering teams, you will enable predictable delivery, grow engineering talent, and build a high-performing culture focused on ownership, accountability, and continuous improvement. Enable delivery of scalable, reliable, and reusable services that power personalisation, recommendations, and consumer engagement experiences.Drive adoption of experimentation and data-driven decision making tocontinuously improve consumer experiences. Drive planning and execution against team objectives and key results (OKRs), ensuring alignment, accountability and transparent reporting. Own sprint execution, delivery planning, capacity management, dependency management, and risk management. Partner with Product Owners, Data Engineering and Tech Leads to deliver business outcomes. Drive engineering excellence through strong development practices, quality standards, operational discipline and continuous improvement. Coach engineers through regular feedback, mentoring, performance management, and career development. Build a high-performing engineering culture focused on ownership, accountability, collaboration, and learning. Establish effective engineering metrics and use data to improve team productivity, quality, and delivery predictability. Drive adoption of AI-assisted engineering practices and automation to improve productivity, quality, and delivery efficiency. Identify opportunities to leverage AI across software development, testing, documentation, knowledge management and onboarding. Collaborate with engineering leadership on hiring, staffing, onboarding, talent development, and succession planning. Manage delivery partners and vendors where applicable and ensure alignment with team objectives. Your talent 10+ years of software engineering experience, with experience leading engineering teams in an agile delivery environment. 3+ years of people leadership experience. Strong experience leading roadmap execution, delivery planning, dependency management, and stakeholder engagement. Experience working with consumer data, behavioural signals, and event-driven architectures. Familiarity with personalisation, recommendations, consumer intelligence, experimentation, search, or decisioning platforms. Strong people leadership skills with experience in hiring, mentoring, developing, and retaining high-performing engineering teams. Strong understanding of modern software engineering practices including software architecture & engineering principles, code quality, automated testing, CI/CD, and AI-assisted development.Strong communication, collaboration, decision-making, and organisational leadership skills. Experience driving engineering quality, operational excellence, reliability, security, and continuous improvement. Experience working in Agile delivery environments using tools such as Jira & Confluence or equivalent. A data-driven mindset with the ability to use engineering, delivery, and operational metrics to improve team effectiveness and predictability. Experience leveraging coding agents, LLMs, and AI-assisted engineering tools to improve software delivery and team productivity will be a strong advantage. Experience working with personalisation, recommendation, experimentation, search, or AIpoweredconsumer products will be a strong advantage

Business Growth Manager – Data & AILocation: Dubai, UAE Experience: 10+ Years Function: Sales & Business Development | Data & AI Role Overview: Looking for a results-driven Business Growth Manager to expand our Data, Analytics, and AI business across the UAE and wider GCC market. The ideal candidate will have a strong understanding of the regional technology landscape, an established professional network, and a proven track record of selling technology services and building long-term client relationships. This role combines new business development with strategic account management, focusing on identifying new opportunities, acquiring clients, expanding existing accounts, and driving sustainable revenue growth. Key Responsibilities: Business Development & New Client Acquisition Account Management & Revenue Growth Sales Strategy & Execution Mandatory Requirements• 8+ years of experience in B2B technology sales, business development, and/or strategic account management, preferably within IT services, consulting, or digital transformation.• Proven experience selling Data & AI services, including areas such as Data Engineering, BI & Analytics, Cloud Data Platforms, Data Modernisation, and AI/ML solutions. Strong track record of acquiring new clients while growing revenue from existing accounts.• Established network and understanding of the UAE business landscape, with at least 3–5 years of professional experience in Dubai or the UAE.• Strong relationships with enterprise clients, decision-makers, and technology stakeholders across relevant industries.• Experience managing the complete sales lifecycle, from prospecting and lead generation to proposal development, negotiation, and closure. Success Measures• New client acquisition and revenue generated.• Growth in existing accounts through cross-selling and upselling.• Sales pipeline development, conversion rates, and deal closures.• Achievement of assigned revenue and business growth targets.• Client retention, relationship strength, and repeat business

Role: Sr. AWS Data Engineer Location: PAN India Experience: 8 – 12 years of experience Employment Type: Contract (12–18 Months) Work Mode: Hybrid Key Responsibilities: • Create new fields/columns in Redshift and trace downstream propagation (DBT → QuickSight → reports). • Build and modify DBT views — staging, intermediate, and marts layers. • Understand and maintain data lineage across the full stack. • Architect new data feeds for reporting and analytics consumption (Glue, S3, Redshift). • Build ETL/ELT pipelines for new data sources as they come online. • Design and implement schema changes with full impact analysis before deployment. • Collaborate with Priya and Lee on the reporting data layer — they handle BI; this role handles engineering. • Write and optimize complex SQL for data transformations and performance tuning. • Partner with Data Governance Analyst to ensure new objects are cataloged and documented at creation. Key Skills: · AWS Glue / Redshift / S3 · Python / Spark · SQL and data modeling · ETL/ELT pipeline delivery · Data lake architecture

Job Description – Ontology Tech Lead Experience: 8+ YearsLocation: PAN IndiaEmployment Type: Contract (12–18 Months) Job Summary We are looking for an experienced Ontology Tech Lead with strong expertise in Ontology Engineering, Knowledge Graphs, Graph Databases, and Python. The candidate will lead the design and development of semantic data models, manage graph-based solutions, and drive data integration while guiding the technical team. Key Responsibilities Lead the design, development, and maintenance of ontologies, taxonomies, and semantic data models. Define entities, attributes, relationships, and business rules for complex data structures. Design and develop knowledge graphs using Graph Database technologies. Use Python for data processing, transformation, validation, and automation. Integrate data from multiple sources into ontology models and graph-based systems. Establish ontology modelling standards and ensure data quality, consistency, and accuracy. Lead technical discussions, review solutions, and mentor team members. Collaborate with data engineers, architects, and business stakeholders to understand requirements. Oversee graph querying, troubleshooting, optimization, and technical documentation. Required Skills 8+ years of experience in relevant data engineering, data modelling, or ontology-related roles. Strong hands-on experience in Ontology Engineering, Ontology Modelling, and Knowledge Graph development. Experience with Graph Databases such as Neo4j, Amazon Neptune, or similar. Strong Python programming skills. Understanding of RDF, RDFS, OWL, and SPARQL. Strong knowledge of Semantic Data Modelling, Entity Relationships, and Metadata Management. Experience in data integration and graph data modelling. Technical leadership and team mentoring experience. Good to Have Experience with ontology tools such as Protégé. Exposure to RDF Triple Stores and Knowledge Graph pipelines. Knowledge of APIs, ETL, and large-scale data processing.

Job Title: Ontology SME (Contract of 12 to 18 months) Key Skills: Ontology, Graph Database (Graph DB), Python Experience: 7+ Years Locations: PAN India Job Summary We are looking for an Ontology Subject Matter Expert (SME) with experience in ontology modeling, knowledge graphs, graph databases, and Python. The candidate will help design and manage semantic data models, define relationships between entities, and develop Python-based solutions to process, validate, and integrate structured data into graph-based systems. Key Responsibilities Design, develop, and maintain ontologies, taxonomies, and semantic data models. Define entities, attributes, relationships, and business rules to represent complex data. Develop and maintain knowledge graphs using graph database technologies. Use Python for data processing, transformation, validation, and automation. Map data from multiple sources to ontology models and graph structures. Collaborate with data engineers, architects, and business stakeholders to understand domain requirements. Ensure data consistency, quality, reusability, and semantic accuracy. Support graph querying, troubleshooting, documentation, and optimization. Required Skills Hands-on experience in ontology engineering, ontology modeling, or knowledge graph development. Experience with graph databases such as Neo4j, Amazon Neptune, or similar technologies. Strong Python programming skills for data processing and automation. Understanding of RDF, RDFS, OWL, SPARQL, or related semantic web technologies, as applicable. Knowledge of entity relationships, data modeling, metadata, and semantic data integration. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Experience with ontology tools such as Protégé. Exposure to RDF triple stores, graph data modeling, and knowledge graph pipelines. Familiarity with APIs, ETL/data integration, and large-scale data processing.