\u2022\tWork model: 2 days per week in the office and 3 days at home.
\n\u2022\tWork schedule: At Accenture, we work under two different schedules. This work schedule provides 12 additional Compensation Days in addition to the normal holiday days. These are fixed days during national holiday periods (5 days between Christmas and New Year’s Eve, 5 days during Easter, and 2 days during Carnival)
\no\tDuring Winter (From October to May \u2013 8 months) we work 43 hours\/week:
\n\uf0a7\tFrom Monday to Thursday: 09h – 19h (9 hours\/day)
\n\uf0a7\tFriday: 09h – 17h (7 Hours\/day)
\no\tDuring Summer (From June to September \u2013 4 months) we work 39 hours\/week:
\n\uf0a7\tFrom Monday to Thursday: 09h – 18h (8 hours\/day)
\n\uf0a7\tFriday: 09h – 17h (7 Hours\/day)<\/p>","protected":false},"excerpt":{"rendered":"
AO6766 \u00b7 Portugal \u00b7 services \u00b7 Open<\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"boond_id":"6766","boond_reference":"AO6766","boond_place":"mondeeuropeportugal","boond_place_label":"Portugal","boond_state":12,"boond_state_label":"Open","boond_start_date":"immediate","boond_closing_date":"","boond_answer_date":"","boond_duration":255,"boond_raw_description":"\u2022\tWork model: 2 days per week in the office and 3 days at home.\n\u2022\tWork schedule: At Accenture, we work under two different schedules. This work schedule provides 12 additional Compensation Days in addition to the normal holiday days. These are fixed days during national holiday periods (5 days between Christmas and New Year's Eve, 5 days during Easter, and 2 days during Carnival)\no\tDuring Winter (From October to May \u2013 8 months) we work 43 hours\/week:\n\uf0a7\tFrom Monday to Thursday: 09h - 19h (9 hours\/day)\n\uf0a7\tFriday: 09h - 17h (7 Hours\/day)\no\tDuring Summer (From June to September \u2013 4 months) we work 39 hours\/week:\n\uf0a7\tFrom Monday to Thursday: 09h - 18h (8 hours\/day)\n\uf0a7\tFriday: 09h - 17h (7 Hours\/day)","boond_criteria":"Analytics Engineer | Mid\/Senior\n\nABOUT THE OPPORTUNITY\n\nWe are looking for Mid and Senior Analytics Engineers to join an international technology hub based in Lisbon, supporting the design, implementation and continuous improvement of analytical solutions that enable reliable, scalable and business-oriented decision-making.\n\nWHAT YOU WILL DO\n\n- Model and transform data into consistent analytical structures for reporting, analytics and advanced data use cases.\n- Build, optimize and maintain ELT pipelines, data transformations and automated quality tests.\n- Document business rules, data lineage, transformation logic and semantic definitions clearly.\n- Monitor datasets, quality checks, SLAs and performance to ensure reliable analytical delivery.\n- Support Business Intelligence, Data Science and Machine Learning teams with trusted data products and semantic layers.\n- Collaborate with Data Engineering, Data Science, Machine Learning Engineering and Product teams to deliver integrated and value-driven solutions.\n- For Senior profiles, guide technical decisions, review functional outputs and support the development of less experienced team members.\n\nWHAT WE ARE LOOKING FOR\n\n- Mid level: at least 3 years of experience in data analytics environments, contributing hands-on to reliable data solutions.\n- Senior level: at least 5 years of experience in data analytics environments, including production-grade analytical solution design and delivery.\n- Experience translating business, analytics, data science and engineering needs into clear technical requirements.\n- Strong accountability for delivering stable, consistent and well-governed analytical models.\n- Structured problem-solving skills, with the ability to address ambiguity and identify scalable solutions.\n- Ability to adapt to changing priorities, plan workload effectively and communicate risks proactively.\n- Professional working proficiency in English.\n- Academic background in Data Science, Computer Science, Analytics, Machine Learning or a related field.\n\nTECHNICAL SKILLS\n\n- Advanced data modelling and architecture.\n- Star schema and dimensional modelling.\n- Medallion architecture.\n- Schema evolution management.\n- Semantic layer design.\n- Large-scale data model optimization.\n- ELT and ETL pipeline orchestration.\n- Azure Data Factory.\n- Apache Airflow.\n- Microsoft Fabric.\n- Databricks Workflows.\n- SQL performance engineering.\n- Query tuning, partitioning and clustering.\n- Python.\n- PySpark.\n- Spark SQL.\n- CI\/CD for data pipelines.\n- Version control and DevOps practices for data delivery.\n- Data quality frameworks and automated validation.\n- Data observability and end-to-end monitoring.\n- Data governance, cataloging and lineage.\n- Microsoft Purview.\n- Unity Catalog.\n- Power BI semantic modelling.\n- DAX optimization.\n- Cloud data warehousing.\n- BigQuery.\n- Snowflake.\n- Synapse.\n- Delta Lake.\n- ADLS.\n- Redshift.\n\nNICE TO HAVE\n\n- Experience supporting analytical foundations for machine learning or data science use cases.\n- Awareness of information security, AI governance or data governance best practices.\n- Familiarity with ISO 9001, ISO\/IEC 27001 or ISO\/IEC 42001 principles in data delivery contexts.\n\nCOMPENSATION TRANSPARENCY\n\nMid base salary range: EUR 22 000 - EUR 28 000 gross\/year\nMid total compensation: up to EUR 34 000\/year\nSenior base salary range: EUR 22 000 - EUR 32 000 gross\/year\nSenior total compensation: up to EUR 40 000\/year\nThe salary range is based on objective and gender-neutral criteria, including required competencies, professional experience, level of responsibility and role requirements. Final compensation will be determined according to the candidate's profile and position requirements.\n\nWHAT WE OFFER\n\n- A culture where every professional is encouraged to act with ownership, responsibility and impact.\n- Continuous learning and certification support throughout your journey.\n- Upskilling opportunities connected to quality management, information security, AI governance and cybersecurity best practices.\n- Private health insurance from day one, with optional family extension.\n- Confidential mental health support through TEAM 24, including access to psychological support, content and live sessions.\n- Flexibility whenever the role and project context allow it.\n- Childcare vouchers and practical family support measures.\n- Team moments, shared milestones and leadership presence when it matters most.\n- A collaborative environment built on honesty, mutual support, agility and trust.\n\nEQUAL OPPORTUNITY\n\nHexa is committed to equal opportunity and inclusive hiring, aligned with the principles of the Portuguese Diversity Charter. We welcome applications from people with different backgrounds, experiences and perspectives, and we assess candidates based on competencies, experience and role requirements.\n\nHEXA LIFE\n\nAt Hexa, we are all Builders. We contribute, question, improve and support each other across projects, teams and geographies. Life at Hexa is shaped","boond_expertise_area":"services","boond_is_visible":true,"boond_created_at":"2026-06-29T13:42:09+0200","boond_created_ts":1782733329,"boond_updated_at":"2026-06-29T13:42:09+0200","boond_type_of":1,"boond_mode":1,"boond_active_positionings":3,"boond_manager_id":"20817","boond_agency_id":"1","boond_agency_label":"Hexa Consulting","boond_pole_id":"1","job_location":"Portugal","job_contract":"services","job_business_unit":"Hexa Consulting","job_seniority":"","job_title_without_seniority":"Mid & Senior Analytics Engineer","job_remote_url":"","job_source":"boond","manatal_hash":"","manatal_status":"","job_last_synced_at":"2026-07-03 09:53:05"},"class_list":["post-6363","company_job","type-company_job","status-publish","hentry"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job\/6363","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job"}],"about":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/types\/company_job"}],"version-history":[{"count":1,"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job\/6363\/revisions"}],"predecessor-version":[{"id":6368,"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/company_job\/6363\/revisions\/6368"}],"wp:attachment":[{"href":"https:\/\/www.hexa-group.pt\/pt\/wp-json\/wp\/v2\/media?parent=6363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}