Junior Data Engineer

Speechify’s mission is to remove barriers to reading and make knowledge more accessible. More than 50 million people use Speechify’s text-to-speech tools to convert PDFs, books, Google Docs, news articles, and websites into audio. Our platform helps users read faster, understand more, and remember what matters. Speechify’s product lineup includes iOS, Android, and Mac apps, a Chrome extension, and a web app. Recent honors include Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. Our fully remote team brings together nearly 200 people worldwide, including engineers, AI researchers, and specialists from companies like Amazon, Microsoft, and Google, as well as alumni of Stanford and high-growth startups such as Stripe, Vercel, and Bolt. We operate without a physical office, collaborating across time zones and backgrounds. Role Overview Speechify is hiring a Software Engineer for our data-focused AI team in Madrid, Spain. This role centers on building and maintaining the systems that collect and process the vast audio datasets used to train our models. The work blends infrastructure, engineering, and research, aiming to create high-quality datasets at petabyte scale while controlling costs. What You Will Do Find and connect new audio data sources to our ingestion pipeline. Manage and improve our cloud infrastructure for data ingestion, using Google Cloud Platform and Terraform. Work alongside scientists to optimize cost, throughput, and data quality, supporting our advanced AI models. Collaborate with the AI team and company leadership to shape the dataset roadmap for future consumer and enterprise products. What We Look For BS, MS, or PhD in Computer Science or a related field. At least 5 years of professional software development experience. Strong skills in bash and Python scripting within Linux environments. Professional experience with Docker and Infrastructure-as-Code (such as Terraform), plus hands-on work with at least one major cloud provider (we use GCP). Experience with web crawlers and large-scale data processing is a plus. Ability to manage multiple tasks and adapt to shifting priorities. Clear written and verbal communication skills.

Join our dynamic team at Aircall as an Infrastructure Engineer in our Madrid office! We are seeking a talented engineer to help us build and maintain our infrastructure, ensuring optimal performance and reliability. As part of our innovative environment, you will work closely with other engineers to design solutions that scale effectively and meet our growing needs.

We are seeking a dynamic and results-oriented Infrastructure and Software Account Manager to join our team at inetum2. In this role, you will be responsible for managing client relationships, driving sales initiatives, and ensuring that our infrastructure and software solutions meet the unique needs of our customers. Your expertise will help us enhance client satisfaction and expand our market presence.

As a Senior DevOps / Infrastructure Engineer at Causa Prima, you will take charge of designing, building, and managing our cloud infrastructure. Your role will encompass everything from creating CI/CD pipelines to overseeing production monitoring, enhancing security, and optimizing costs. You will help establish a robust platform capable of handling sensitive financial data efficiently and securely.Key ResponsibilitiesGCP Infrastructure — Design and manage Cloud Run (API), GKE Autopilot (including agents and GPU nodes), and configure VPC with private subnets, dedicated Cloud SQL instances, IAM, and Secret Manager using Infrastructure-as-Code methodologies.CI/CD Implementation — Develop and maintain a secure CI/CD pipeline using GitHub Actions and Cloud Build, incorporating security-aware design, production approval gates, container image scanning, secret isolation, and signed commits.Monitoring and Observability — Implement OpenTelemetry for distributed tracing across TypeScript and Python services, utilize Cloud Monitoring and Sentry with PII-stripping hooks, structured logging with sanitization, and behavioral monitoring with tiered alerting.Secret Management and Rotation — Oversee credential lifecycle management for LLM API keys, database credentials, OAuth tokens, and agent signing keys using GCP Secret Manager.Container Orchestration — Manage Docker builds and registry, configure GKE clusters, and design pathways for Kubernetes-native deployments as we scale.Incident Response Management — Establish per-agent circuit breakers, implement graceful degradation, and tiered alerting (logged → Slack → PagerDuty) alongside forensic tooling via event store replay and traces.Network Security — Implement VPC firewall rules, ensure private ingress for all data stores, enforce egress controls, and manage a PII Vault on restricted-access infrastructure.Neo4j Aura Operations — Conduct monitoring, scaling decisions, and backup verification for our managed graph database.

Join AECOM as a Graduate Engineer specializing in Linear Infrastructures. In this dynamic role, you will work alongside seasoned professionals to design and develop innovative infrastructure solutions that enhance urban environments and transport systems. Your contributions will be instrumental in shaping sustainable infrastructure that meets the needs of communities.

Join Sopra Steria as a Data Engineer and play a key role in transforming data into actionable insights. You will work with cutting-edge technologies to develop data pipelines, manage data architecture, and ensure data quality. Your expertise will help drive strategic decision-making and improve operational efficiency.

Ebury is dedicated to empowering ambitious businesses in their quest for global expansion, and we extend that same commitment to our employees. We foster an innovative and collaborative environment that encourages problem-solving and ensures that everyone feels valued, supported, and empowered to thrive.If you're a team player eager to reshape the way businesses function on a global scale, reach out to us! We're excited to discuss how Ebury can elevate your career and help you influence the future.Senior Cloud Infrastructure Security EngineerHybrid (4 days in office) in MadridEbury is making substantial investments in its cloud infrastructure security to uphold the trust and safety of our worldwide financial services. As a Senior Security Engineer specializing in Cloud Infrastructure, you will take charge of enhancing the security framework of our cloud environments across AWS and GCP, focusing on network security, perimeter defense, and attack surface management.This hands-on position demands extensive knowledge of cloud-native security controls, network architecture, and defensive security operations. You will design, implement, and sustain security infrastructure that proactively identifies and mitigates threats before they affect our business. Close collaboration with platform, infrastructure, and security operations teams will be essential to instill security best practices within our cloud foundations.Key ResponsibilitiesOwn cloud security posture and attack surface management: Maintain comprehensive visibility and control across AWS and GCP environments. Implement cloud-native security monitoring, detection, and alerting to proactively identify and mitigate threats before they impact customers or the business. Define and enforce security baselines using policy-as-code.Design and maintain web application firewall infrastructure: Manage WAF configurations across AWS and GCP, developing and tuning detection rules in line with application threat models and emerging attack patterns. Establish operational processes for rule lifecycle management and incident response integration, collaborating with application teams to implement protections without compromising availability.Architect network segmentation and isolation: Develop and execute network security strategies ensuring proper separation between development, staging, and production environments. Define consistent patterns across multi-cloud infrastructure, applying zero-trust principles to workload communication and documenting reference architectures for engineering teams.

Join our dynamic team as a Cloud Infrastructure Engineer where you will leverage your expertise in cloud technologies to design, implement, and optimize scalable and efficient cloud infrastructure solutions. This is a fully remote position, allowing you to work from the comfort of your home while collaborating with an innovative team.In this role, you will be responsible for managing cloud resources, ensuring the security and reliability of cloud environments, and driving best practices for cloud architecture. Your contributions will be vital in helping our clients achieve their digital transformation goals.

Turner Townsend is looking for a Senior Data Engineer in Madrid to help shape the company's data strategy. This position centers on designing, building, and maintaining data pipelines and architecture to support business intelligence and analytics across the organization. Role overview The Senior Data Engineer will work closely with teams from different departments, ensuring that data is reliable, accessible, and secure. The work involves both hands-on development and ongoing support of the systems that deliver insights for key projects. What you will do Design and implement data pipelines and architecture Maintain and monitor data systems to ensure integrity and availability Collaborate with cross-functional teams to support analytics and reporting needs Contribute to data security and compliance practices Requirements Experience building and maintaining data pipelines and architectures Strong understanding of data integrity, availability, and security principles Ability to work collaboratively with technical and non-technical teams

Role overview Miratech is hiring a Senior Data Engineer in Madrid. This position focuses on designing and building scalable data solutions that support key business needs. The Senior Data Engineer works closely with teams from different disciplines to improve data workflows and maintain data quality. What you will do Design and implement scalable data architectures Collaborate with cross-functional teams on data-related projects Optimize data processes for efficiency and reliability Ensure data integrity across systems Apply expertise in modern data technologies

lastminute.com is looking for a Data Engineer to join its Madrid office. This position centers on building and maintaining data pipelines that support analytics and business decisions across the company. Role overview The Data Engineer will design, implement, and support scalable systems to collect and process data. The work ensures that reliable, high-quality data is available for teams who analyze trends and guide travel-related decisions. What you will do Design and develop data pipelines that move and transform information efficiently Maintain and monitor existing data systems to guarantee their performance and reliability Support analytics by making sure data is accurate and accessible for reporting and insights Location This role is based in Madrid.

Why Join dLocal?dLocal empowers leading global companies to seamlessly collect payments in 40 emerging market countries. Our platform is trusted by major brands to enhance conversion rates and facilitate effortless payment expansion. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to penetrate some of the world’s fastest-growing markets.By becoming part of our dynamic team, you will join over 1000 dedicated professionals from more than 30 countries, forging an international career that positively impacts millions of lives daily. At dLocal, we are innovators who embrace challenges, prioritize customer-centric solutions, and foster a collaborative environment. If this resonates with you, we are confident you will excel with us.What’s the Opportunity?As a Senior Machine Learning Operations (MLOps) & AI Infrastructure Engineer at dLocal, you will play a pivotal role in developing and managing our ML and AI platform, with a strong emphasis on Feature Store and MLOps processes.Your responsibilities will include implementing and enhancing the tools utilized by our Data Science and AI teams to transition models and AI-driven services from concept to production. This encompasses feature pipelines, training and deployment workflows, observability, and automation.A central aspect of your role will involve leveraging agents and AI services to automate various MLOps functions—from feature store operations to managing fraud and anomaly detection workflows, as well as optimizing ML expenses—while collaborating closely with the AI Team and MLOps Technical Referent.

Welcome to Fever! As the world's premier technology platform for culture and live entertainment, we are on a mission to make cultural experiences accessible to everyone. Our innovative technology and data-centric approach are transforming the way individuals engage with live entertainment. Each month, our platform captivates over 300 million users across more than 40 countries, enabling them to discover remarkable events while empowering creators with the insights and technology they need to innovate and expand their reach. Our achievements include collaborations with industry titans such as Netflix, F.C. Barcelona, and Primavera Sound, along with several prestigious awards and support from top global investors! Exciting, isn't it? To continue our journey, we are seeking passionate individuals with a proactive mindset ready to help us redefine the future of entertainment!Now, let’s dive into the specifics of this role and how you can contribute to Fever's mission.About the RoleAt Fever, we are constructing a federated data organization that balances centralization where it matters and autonomy that drives value. Our teams utilize advanced data platforms like Snowflake, DBT, Airflow, DataHub, and Metabase. Moreover, we are developing proprietary technologies to deliver high-quality data products across diverse business sectors.As a Senior Analytics Engineer, you will serve as a crucial link between data engineering and business analytics, enabling our stakeholders to make informed decisions based on reliable, well-structured, and easily accessible datasets.What You’ll DoDesign, build, and maintain robust data models (DBT, SQL) that convert raw data into clean, trustworthy datasets for self-service and reporting.Collaborate with the data engineering team to define and validate business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).Engage with business squads (B2B, Marketing, CRM, Product) to identify their requirements and transform them into reusable data assets.Ensure data quality and consistency by working closely with the data engineering team on testing frameworks, observability, and governance.Enable self-service analytics by empowering stakeholders to access and analyze data independently.

Join altersolutions as a Data Engineer where you will play a pivotal role in designing and implementing data pipelines that empower businesses with actionable insights. You will work with cutting-edge technologies and collaborate with cross-functional teams to ensure data quality and accessibility.

Join Sopra Steria, a leading European technology consulting firm, as a Data Engineer in Madrid. In this dynamic role, you will be instrumental in designing, developing, and maintaining data pipelines and architectures. Your expertise will help us transform data into actionable insights, driving innovation and efficiency within our projects.

Veeam, the world leader in data resilience, empowers businesses to access and control their data anytime and anywhere. Our comprehensive suite includes data backup, recovery, portability, security, and intelligence. Headquartered in Seattle, Veeam safeguards over 550,000 customers globally, ensuring their operations remain uninterrupted. Join our journey as we innovate, grow, and make significant contributions for some of the largest brands globally. The future of data resilience is bright—take bold steps with us.About the Role: With the recent acquisition of Securiti AI, a frontrunner in AI-driven data security posture management (DSPM), Veeam is on the lookout for a Senior Sales Engineer. In this pivotal role, you will provide technical leadership within our sales team, focusing on the Securiti AI portfolio. Collaborating with a Securiti Sales Specialist, you will support 3-5 Account Executives and Veeam Solution Engineers, acting as the technical authority.Your key responsibilities will involve guiding customers from initial needs assessment to tailored solution design, showcasing the value through hands-on demonstrations and proofs of concept. Success in this position hinges on your strong technical acumen and your ability to foster trust with clients.What You’ll Do: Serve as the primary technical resource for Securiti AI solutions throughout the sales process.Lead in-depth technical discussions and tailor security solutions to meet customer needs.Address client requirements in data discovery, posture management, and compliance.Design and deliver engaging product demonstrations and proofs of concept.Work alongside product, engineering, and customer success teams to ensure seamless transitions.What You’ll Bring: Extensive experience in pre-sales or sales engineering roles.Deep knowledge of data and cloud security.Exceptional communication skills for engaging both technical and business stakeholders.Over 10 years of technical sales experience in the security domain.More than 15 years in Software/SaaS/Enterprise technical sales.Practical experience with AWS, Azure, or GCP.Familiarity with data privacy/security standards such as GDPR, NIST 800-53, and ISO 27001.

Join our innovative team at inetum2 as a Senior Data Engineer specializing in Databricks. In this pivotal role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines. Collaborate with cross-functional teams to deliver high-quality data solutions that drive decision-making and enhance business intelligence.

Role Overview nexthink is hiring a Senior Data Engineering Tech Lead in Madrid. This position guides the direction of our data strategy and leads a skilled team of engineers. The role focuses on building and improving data infrastructure to help the company deliver clear, actionable insights.

Ebury empowers ambitious businesses to achieve global expansion, and we apply the same philosophy to our workforce. We promote innovation, collaboration, and problem-solving, creating an environment where every employee feels valued, supported, and empowered to thrive.If you are a team player eager to revolutionize global business operations, reach out to us. We would love to explore how Ebury can enhance your career and help you shape the future.Senior Software EngineerMadrid Office - Hybrid: 4 days in the office, 1 day working from homeThe FinCore Engineering team at Ebury is looking for a talented Software Engineer to play a vital role in our diverse team located across South America and Europe. The successful candidate will be responsible for developing and optimizing our multi-currency accounting system and facilitating foreign currency exchanges. Your contributions will be essential as we strive to elevate our platform and deliver the best FX experience for our clients and operational teams.As a Senior Software Engineer, your technical expertise will be crucial to our ongoing innovation and growth. We prioritize collaboration and commitment, functioning in a distributed model where effective teamwork is essential.