128 Best Tecnología de la información Jobs in Salou (August 2026)

Senior Data Engineer - Databricks & Azure

15 hours ago

Tarragona

ppbWhy Keyrus, Why Now! /b /p pKeyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: bAI does not transform businesses. Architected intelligence does. /b /p pFor more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: bwe operationalise intelligence. /b /p pAI does not replace humans. It repositions us to a place no system can follow: bunderstanding, deciding, designing, and creating. /b /p pAt Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last. /p pOver time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‑making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a bKeyrus Architect of Intelligence. /b /p pTechnology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. /p h3Role Details /h3 pJob location: Remote (Portugal-based) /p pContract type: Employee or B2B Contractor /p pTarget start date: July 2026 /p pWorking hours: Full-time /p pCompensation: 45k gross year to 55k gross year / or B2B up to 350 euros/day /p h3What You’ll Architect /h3 pAs a Senior Data Engineer expert in Azure Databricks, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. /p pThis role is both technical and consultative — perfect for someone who can combine hands‑on data engineering, cloud platform expertise, and solution design to deliver strategic Data AI initiatives. We’re looking for professionals who think like architects and act like builders. /p h3Key Responsibilities /h3 ul liDesign, develop, and maintain scalable data pipelines using Databricks, PySpark, Python and SQL. /li liBuild and optimise batch and near real‑time data processing solutions on the Microsoft Azure ecosystem. /li liDevelop and maintain Delta Lake‑based data architectures. /li liDevelop robust and scalable data products and modern data platform components supporting strategic business initiatives. /li liContribute to CI/CD implementation and automation for data solutions. /li liApply engineering best practices around source control, testing, deployment, and monitoring. /li liSupport Infrastructure‑as‑Code and environment standardisation initiatives. /li liEnsure high standards of data quality, observability, monitoring, security, and operational reliability. /li liCollaborate with Product Managers, Architects, Data Engineers, and business stakeholders to deliver high-quality outcomes. /li liParticipate in technical design discussions and contribute to solution architecture decisions. /li liSupport platform governance, cost optimisation, technical documentation, and knowledge sharing initiatives. /li /ul h3Who You Are /h3 ul liYou are a passionate Data Engineer who enjoys building scalable, reliable, and modern cloud‑based data platforms. /li liYou have a strong engineering mindset and take pride in delivering high‑quality, maintainable, and production‑ready solutions. /li liYou balance hands‑on technical delivery with an understanding of broader architectural and business objectives. /li liYou are comfortable working independently, taking ownership of technical challenges, and driving solutions from design through implementation. /li liYou thrive in Agile environments and enjoy collaborating with multidisciplinary teams across different geographies. /li liYou are an advocate for engineering excellence, promoting automation, standardisation, and continuous improvement. /li liYou communicate effectively with both technical and business stakeholders, adapting your message to your audience. /li liYou enjoy sharing knowledge, mentoring colleagues, and contributing to the growth of the wider engineering community. /li /ul h3What You Bring /h3 h3Qualifications Experience /h3 ul li5+ years of experience in Data Engineering. /li li3+ years of hands‑on experience with Databricks. /li liProven experience building and maintaining modern cloud data platforms. /li liExperience working within Agile delivery environments. /li liProven ability to work effectively in distributed and international teams. /li liProfessional proficiency in English. /li /ul h3Technical Professional Skills /h3 ul liStrong hands‑on expertise with: ul liDatabricks /li liPySpark /li liDelta Lake /li liDatabricks SQL /li liWorkflow orchestration /liliPerformance tuning /li /ul /li liStrong proficiency in: ul liPython /li liSQL /li /ul /li liExperience with: ul liMicrosoft Azure Data Platform services /li liAzure DevOps /li liGit‑based development /li liCI/CD implementation /li liData modelling /li liData warehousing concepts /li /ul /li liGood understanding of: ul liData Governance /li liSecurity and access management /li liMonitoring and observability /li /ul /li liAbility to design and deliver scalable, secure, and cost‑efficient data solutions. /li /ul h3Nice to Have /h3 ul liDatabricks certifications. /li liMicrosoft Azure certifications. /li liExposure to large‑scale Data AI transformation programmes. /li liPrevious experience in consulting or client‑facing environments. /li /ul h3What Makes You Successful /h3 ul liYou focus on delivering reliable, scalable, and business‑ready data solutions. /li liYou combine deep Databricks expertise with a pragmatic and outcome‑oriented mindset. /li liYou build platforms with performance, security, maintainability, and operational excellence at their core. /li liYou proactively identify opportunities to automate, optimise, and standardise engineering processes. /li liYou take ownership of complex technical challenges and consistently deliver high‑quality results. /li liYou collaborate effectively with Architects, Engineers, Product Teams, and business stakeholders. /li liYou contribute to stronger engineering standards, governance, and platform maturity. /li liYou actively share knowledge and help elevate the capabilities of the wider team. /li liYou balance autonomy, accountability, and collaboration to drive successful project outcomes. /li /ul h3What We Offer at Keyrus Portugal /h3 ul liCompetitive salary aligned with your experience and the data market /li liMeal allowance: €10.20/day /li liFlexible benefits plan /li liPrivate medical insurance /li li22 days of annual leave, increasing every 3 years (up to 25 days) /li liContinuous learning via KLX – Keyrus Learning Experience /li liA collaborative, international, and human‑centred work environment /li /ul h3How Our Salary Ranges Work /h3 pAt Keyrus, salary ranges reflect bdifferent levels of mastery and impact within the same role /b — not different job titles. /p ul liBottom of the range You meet the core requirements and will need ramp‑up time and support. /li liMiddle of the range You are fully autonomous from Day 1 and deliver consistently. /li liTop of the range You are a reference for the role, mentor others, and raise the bar for the team. /li /ul pFinal offers are based on bexperience, autonomy, scope, and market context /b, and are discussed transparently during the process. /p h3Responsible AI Recruitment /h3 pAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. /p pTo support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for bnote‑taking purposes during interviews /b. AI is bnever /b used to make decisions. /p pTo ensure bfairness, authenticity, and the protection of confidential and proprietary information /b, the use of AI tools by candidates during the recruitment process is bstrictly prohibited /b. /p h3Equal Opportunity Statement /h3 pWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic. /p pAt Keyrus, we help organisations move from experimental AI to industrialised AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an bArchitect of Intelligence /b. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: bwe operationalise intelligence /b. /p pPowered by our proprietary bHuman Orchestrated Model™ /b (HOM), we architect reliable: /pul liIntelligence Foundations /li liHuman in Command governance /li liand Performance Steering /li /ul To create intelligent environments where technology amplifies human capabilities and performance compounds over time. pWith 30+ years of expertise and 2,800 employees across 28 countries, we help organisations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organisations. /p pAI does not transform businesses. Architected intelligence does. /p pKeyrus Portugal participates in the +Talento Internship Program, co‑funded by IEFP and Portugal 2030. /p /p #J-18808-Ljbffr

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