Role Description We are seeking a self-directed, hands-on Data Engineer to build the data foundation that powers the entire organization. Today, our data lives across 250+ transactional tables refreshed weekly. You will own consolidating this into ~10 well-defined analytic tables, transitioning from full refreshes to daily (or better) incremental loads, and standing up a centralized analytics layer that BI, product, and AI can draw from with confidence. - Own data pipeline design and implementation; consolidate 250+ transactional tables into ~10 analytic tables; move from weekly full-refresh to daily/near-real-time incremental loads via CDC (e.g., AWS DMS). - Build and own the centralized analytics layer. - Establish unified data definitions, metrics, KPIs, and benchmarks across the organization. - Deliver a Master Data Management (MDM) framework with unified definitions and governance standards. - Drive migration to the centralized layer while deprecating direct raw table access. - Partner with internal departments to drive self-service analytics and build aggregations/data marts for benchmarking and experimentation. - Conduct exploratory and statistical analysis for data validation, and implement data observability/monitoring. - Partner with the Applied AI Engineer to design AI-ready data models (including retrieval- and embedding-ready structures to ground RAG and LLM applications). - Expand the data lake to ingest third-party sources (e.g., HubSpot, Jira, Zendesk). Qualifications - 5+ years of data engineering experience building/operating production pipelines and analytics layers. - Strong SQL and Python, with deep hands-on PostgreSQL expertise. - Deep experience in dimensional modeling and consolidating transactional schemas into analytic tables. - Hands-on experience with Change Data Capture (CDC) and incremental loading strategies. - Hands-on experience with the AWS Data Stack (Athena, Glue, DMS, S3, RDS, Lambda). - Proven experience establishing Master Data Management (MDM), metrics definitions, and data governance. - Hands-on experience constructing AI-ready pipelines (retrieval/embedding-ready data for RAG/LLM applications). Requirements - Experience integrating SaaS third-party tools (HubSpot, Jira, Zendesk) into data lakes/warehouses. - Experience partnering with AI/ML teams on feature stores and ML evaluation pipelines. - Familiarity with data observability and quality monitoring tooling. - Background in multi-tenant SaaS, edtech, or compliance platforms. Benefits - Trust-based culture: We highly value ownership and we trust in our team's skills and seniority to achieve goals. - Remote work: Enjoy working remotely! We are spread-headed in different locations in LATAM and Europe. - Flexible time off policy. - Diverse & Impactful Projects: Engage with complex challenges for major players in Media & Entertainment, alongside innovative startups in Solar Energy, Compliance, and other dynamic sectors. - Learning and development: Get the opportunity to take English classes, trainings and certifications. - Referral Program: We value connection! Our referral program provides bonuses for successful referrals. - Strong culture and traditions: We foster a supportive and engaging work environment, highlighted by our annual “Binagora Week”, regular team gatherings and gifts for special occasions.

• Establish engagement plan, governance cadence, interview schedule, and workstream structure • Confirm in-scope verticals, stakeholder groups, and required artefacts • Conduct stakeholder interviews and working sessions across pillars and functions • Document current-state operating model, processes, decision points, and friction points • Identify AI-enabled use cases across processes, workflows, and engineering delivery for each in-scope pillar • Define opportunities for pillar-specific agents and a cross-pillar orchestration agent • Populate and maintain the AI Initiatives Tracker (Innovation Backlog, AI Initiatives Register, Risk & Controls, Benefits Tracking) • Map current or recommended AI tooling (e.g., M365 Copilot, GitHub Copilot, Claude Code, ChatGPT) to each use case • Assess technical feasibility, control requirements, and data-handling implications for prioritized use cases • Define target-state operating model, human-in-the-loop points, and governance forums • Prioritize opportunities and build a phased implementation roadmap (near/medium/long-term) • Prepare executive-ready findings report and leadership presentation • Lead validation workshops and readout/knowledge-transfer sessions with client stakeholders

Role Description We are looking for a Senior Data Engineer for our client in the aviation industry. ✈️ - Develop, maintain, and optimize legacy ETL and DWH processes. - Work hands-on with Oracle, Teradata, SQL, PL/SQL, and stored procedures. - Develop IBM DataStage or similar ETL platforms such as Informatica or Ab Initio. - Participate in legacy-to-modern data migration projects. - Analyze existing data structures and map them to modern architectures. - Build and manage data pipelines using Apache Spark. - Read and write data from object storage environments such as AWS S3. - Contribute to technology evaluation, PoC studies, and future platform decisions. - Define technical standards and provide architectural guidance to data and analytical teams. Qualifications - Minimum 5 years of experience in Data Engineering, ETL, or Data Warehouse environments. - Bachelor's degree in Computer Engineering, Software Engineering or a related Engineering discipline. - Strong experience with traditional DWH and legacy data platforms. - Hands-on experience with Oracle, Teradata, SQL, PL/SQL, and stored procedures. - Development with IBM DataStage or similar ETL platforms such as Informatica or Ab Initio. - Experience in at least one end-to-end data migration or legacy modernization project. - Hands-on experience with Apache Spark. - Experience reading and writing data from AWS S3. - Ability to work hands-on while contributing at Senior, Staff Engineer, or Data Architect level. - Strong analytical, consultative, and communication skills. Company Description OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

Role Description Tieto Tech Consulting is looking for a highly skilled and motivated Junior Reference Data Specialist, a professional who will join a project within a Telecom Team for our respectful client BICS. Join the team of our customer BICS – a global telecommunication enabler with a physical network stretching through the globe! Grow your expertise through interacting with A-level mobile carriers from all over the world. Get your hands on the vast network with on land, underwater, and space points of presence. Join our decade-long partnership with BICS to ensure confidence in your future and long-term growth! Tieto-BICS team has been growing since 2010… and we are looking forward to grow with you! Develop your telecom expertise in a diverse portfolio of BICS products, including: - Voice - Cloud - Signaling - LTE - IoT Enjoy unmatched growth opportunities with BICS vast network and customers around the world. Qualifications - 1 - 3 years of experience in IT, Systems or Operations - Fluent written and spoken English - Confident Office application user - Analytical skills - Problem solving skills - Ability to learn fast - Quality and customer oriented - Ability to act independently as well as a part of the team Requirements - Maintenance of reference data across multiple applications - Request clarification and follow up if data is missing or inconsistent - Internal customer support - Communication to the Team and N+1 on what has been implemented - Focus on supplier offer upload and International Numbering Plan maintenance - Participation in small projects and testing Benefits - At Tieto, we believe in the power of diversity, equity, and inclusion. - We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team. - Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Company Description - Diversity, equity and inclusion - Sustainability - Tieto Stay alert to recruitment scams: - Tieto only communicates via @tieto.com email addresses. - We never ask candidates to pay fees or share financial details during recruitment. - If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site. - For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog Remote Type: Remote Job Area: Technical and Functional Expertise Business Unit: Tech Consulting