{"id":3819468,"url":"https://alion.io/job/endava-senior-data-engineer-8","title":"Senior Data Engineer","company":{"id":6702,"name":"Endava","domain":"endava.com","url":"https://alion.io/company/endava","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rosario, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-05T12:38:47Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T21:41:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.\nBy combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.\nFrom prototype to real-world impact - be part of a global shift by doing work that matters.\n Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.\nAs a Data Engineer at Endava you will:\nData Engineering & Architecture\nDesign, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.\nDevelop reusable, modular, and configuration-driven data processing solutions.\nContribute to technical architecture and evaluate solutions based on scalability, performance, reliability, and maintainability.\nDesign and optimize data models, SQL queries, stored procedures, and data processing workflows.\n\nWorkflow Orchestration & Data Quality\nDesign and maintain Apache Airflow workflows, including scheduling, dependencies, retries, monitoring, and error handling.\nDevelop automated data validation and quality checks using DBT and SQL.\nImplement appropriate monitoring, alerting, and observability for critical data pipelines.\nTroubleshoot and resolve complex data processing and quality issues.\n\nCloud & Platform Engineering\nDevelop data solutions using AWS and cloud-based data warehouse technologies such as Snowflake.\nWork with cloud services for data storage, processing, compute, messaging, and serverless workloads.\nSupport data platforms across development, QA, staging, and production environments.\nOptimize data workloads for performance, scalability, reliability, and cost.\n\nCI/CD & Production Support\nDevelop and maintain CI/CD pipelines for data engineering applications and infrastructure.\nApply Infrastructure-as-Code practices using Terraform or equivalent technologies.\nSupport production deployments, incident resolution, root cause analysis, and continuous improvement.\nMaintain technical documentation, operational runbooks, and troubleshooting guides.\n\nTechnical Leadership\nTake ownership of complex engineering initiatives from design through production.\nConduct code reviews and promote engineering best practices.\nMentor junior and mid-level engineers and provide technical guidance.\nCollaborate with architecture, DevOps, product, and other technology teams.\n\n Programming: Python, SQL\nOrchestration: Apache Airflow or equivalent\nData Transformation: DBT, SQL, PySpark\nData Warehouse: Snowflake or equivalent cloud data warehouse \nCloud: AWS or equivalent cloud platform\nAWS Services: S3, EMR, Lambda, SNS/SQS or equivalent\nCI/CD: Jenkins, GitHub, GitHub Actions, or equivalent\nMandatory Qualifications\n5+ years of professional experience in data engineering or a related software engineering role.\nStrong hands-on experience building and supporting production-grade data pipelines.\nStrong knowledge of Apache Airflow, including DAG development, scheduling, dependencies, retries, and monitoring.\nStrong experience with Snowflake or equivalent cloud data warehouse technologies.\nProven experience with DBT.\nSolid experience with AWS or another major cloud platform.\nExperience with CI/CD and Infrastructure-as-Code practices.\nStrong programming skills in Python and SQL.\nDemonstrated experience troubleshooting complex production issues and performing root cause analysis.\nAbility to independently own complex technical initiatives from design through implementation and production.\nStrong communication, problem-solving, and technical documentation skills.\nPreferred Qualifications\nExperience with large-scale data processing.\nExperience with PySpark and EMR.\nExperience mentoring engineers and contributing to technical standards and architecture.\n Discover some of the global benefits that empower our people to become the best version of themselves:\nFinance: Competitive salary package, value-based recognition awards, referral bonus; \nCareer Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;\nLearning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;\nWork-Life Balance: Hybrid work and flexible working hours, employee assistance programme;\nHealth: Global internal wellbeing programme, access to wellbeing apps;\n Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.\nAt Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives-because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. 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