Analytics Engineer - Analytics & Data Intelligence (Remote, Greece & Cyprus) Learning is the only human superpower. It’s a gateway through which knowledge becomes a virtue, a value, a product, a skill, a prerequisite, a motive, and a competitive advantage. LearnWorlds’ vision is to enable individuals, businesses, and communities to leverage the power of learning, improving lives, and cultivating a brighter, more resilient future for everyone. Our mission is to stand out as the ultimate adaptable e-learning solution, tailored to meet the diverse, advanced and intricate business models of contemporary organizations. We are committed to delivering unmatched flexibility in our offerings, ensuring that businesses, individuals, and communities can effortlessly embrace knowledge empowerment as a cornerstone of their growth and success.The cloud-based e-learning platform offers tailor-made solutions, from creating whole e-learning websites to author online courses as well as providing the right tools to sell them on a B2B/B2C function. Today, LearnWorlds has c.12,000 customers in more than 150 countries and our team is fully remote. However, we also offer the option of working from the office for those who want to mix things up. We have offices in Athens, Crete, and Limassol.Role PurposeWe are looking for an Analytics Engineer to help scale the "engine" behind our business intelligence — at a moment when that engine is expanding its mandate.Our BI team is evolving into an Analytics & Data Intelligence function, moving beyond reporting and pipelines into automated intelligence features that directly influence how we understand and serve our customers. This role sits at that intersection: partnering with our data and engineering teams — as well as backend engineers, Sales/RevOps, Marketing, and Product and AI Engineering stakeholders — to build reliable, high-performance pipelines while also contributing to ingestion, orchestration, and LLM-powered classification workflows. The scope is broader than a typical Analytics Engineer role at this stage, and the opportunity to shape and own it is equally so.The Impact You’ll HaveScaling the Warehouse: Partner with our Analytics Engineer to refactor and optimize our dbt pipelines, ensuring they remain fast and cost-efficient as our data volume grows.Internalizing Ingestion: Bridge the gap between product data and BI by maintaining and extending ingestion scripts (Go/Python) to ensure we have the data we need, when we need it.Data Intelligence: Build the pipelines that power internal "intelligence" features, such as automated customer segmentation, sentiment classification, and qualitative research tools.Operational Excellence: Strengthen our data activation layer, ensuring our CRM and operational tools stay in sync with the warehouse.Governance & Trust: Drive initiatives around data lineage, documentation, and quality testing to maintain high trust in our reporting.What you’ll doAdvanced dbt Modeling: Build modular, well-tested SQL models using dbt. You’ll focus on the "heavy lifting" of the transformation layer—macros, incremental strategies, and performance tuning.Pipeline Engineering: Maintain and optimize custom ingestion workflows and orchestration, ensuring high availability and reliability.Intelligence & Automation: Implement internal automation workflows that leverage LLMs for data classification and insights generation within the warehouse.Data Activation: Own the "Reverse ETL" flows that push critical business signals back into GTM tools for Sales, Marketing, and Success.Technical Standards: Contribute to our engineering culture through code reviews, documentation, and the enforcement of data contracts with upstream providers.Who You AreThe dbt Specialist: You have significant experience building and managing complex dbt projects. You believe in "Analytics as Code" and practice CI/CD for data.Data Warehouse Expert: Deep experience with Google BigQuery (or similar cloud warehouses), including a strong understanding of partitioning, clustering, and cost optimization.Polyglot Developer: Proficient in SQL and Python, with the ability (or strong interest) to work with Go to maintain ingestion scripts.The Governance Advocate: You understand that data is only as good as the trust people have in it. You are disciplined about documentation, data contracts, and establishing clear lineage to ensure "one version of the truth."Ops-Minded: You care as much about data freshness and reliability as you do about the logic itself. You proactively identify and resolve issues before they impact the business. Experience with Airflow and containerization (Docker) is a significant plus.Automation Enthusiast: You are excited about using modern tools (like BQML or Vertex AI) to automate internal data classification and insights and you actively explore new approaches as the data and AI landscape evolves.Collaborative Team Player: You are a strong communicator who enjoys partnering with cross-functional stakeholders (Marketing, Sales, Product) to translate ambiguous business needs into robust technical solutions. You value peer reviews and knowledge sharing. You are comfortable working in a remote environment, and you help guide stakeholders toward better decisions—not just execute on requests.Operating PrinciplesEngineering standards: Git workflows, pull‑request reviews, code owners, automated tests.Lineage & documentation: We keep dbt docs current, track exposures, and publish dataset ownership, SLAs, and intended use.Incremental delivery: We ship improvements iteratively, with fallbacks and backfill plans to reduce risk.Partnership: We co‑design models with stakeholders and make trade‑offs explicit (freshness vs cost vs complexity).Private life and health insurance planFully remote work if you prefer to work from home, apart from when we have team meetings a few times per yearYour personal annual training budgetAn annual home office allowance to set up your personal sp