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Experience Level
Experience
Qualifications
Proficiency in Python programming language. Experience with web frameworks such as Django or Flask. Knowledge of RESTful APIs and microservices architecture. Familiarity with database management systems such as PostgreSQL or MySQL. Ability to work collaboratively in a team environment. Strong problem-solving skills and attention to detail.
About the job
About the Role
Neoris is hiring a Python Developer in Madrid. This role focuses on building scalable applications and tools that support business operations and drive efficiency. Collaboration with teams from different functions is a key part of the work.
What You Will Do
Design, implement, and maintain software solutions using Python
Work with colleagues across departments to understand needs and deliver effective tools
Contribute to projects that improve processes and operational performance
Location
This position is based in Madrid, Spain.
About Neoris
Neoris is a global consulting firm specializing in digital transformation and technology solutions. With a strong presence in Madrid, we pride ourselves on our commitment to innovation and excellence. Join us and be part of a dynamic environment where your ideas and contributions are valued.
Join neoris as a Senior Python Engineer specializing in AI agents and cloud technologies. In this role, you will leverage your expertise in Python to develop innovative AI solutions that enhance our cloud offerings. You will work collaboratively within a dynamic team, contributing to cutting-edge projects that drive our clients' success.
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.
Why Join dLocal?At dLocal, we empower some of the world's largest companies to seamlessly collect payments across 40 countries in emerging markets. Global brands trust us to enhance conversion rates and facilitate effortless payment expansion. As both a payments processor and a merchant of record in our operating regions, we enable merchants to penetrate the fastest-growing, emerging markets available.Becoming a part of dLocal means joining an incredible global team dedicated to making significant impacts. With over 1,000 teammates from more than 30 nationalities, you will have the opportunity to develop an international career that influences millions of lives every day. We are builders who embrace challenges and prioritize customer satisfaction. If this resonates with you, we are confident you will thrive in our environment.What’s the Opportunity?We are in search of a dynamic Senior Python Software Engineer to join our team, someone who is adaptable and ready to take on diverse responsibilities. Your primary focus will be on software development and creating scalable AI solutions, but you may also engage in architectural design and data analysis from time to time.We seek a proactive builder who takes extreme ownership and has a clear product vision. We aim to move beyond the Proof of Concept stage and need someone who actively identifies and resolves bottlenecks, driving the creation of robust solutions that enhance our engineering ecosystem and deliver measurable, data-driven results.
Full-time|On-site|Barcelona, Catalunya [Cataluña], Spain
About seQuraseQura is at the forefront of innovative payment solutions, enabling merchants to enhance customer acquisition, conversion, and retention seamlessly.Our tailored solutions cater to diverse sectors including Retail, Education, Optics, and Travel, making significant strides in sales performance. We empower consumers with smart shopping options that offer value, convenience, and flexibility, providing new payment experiences that enable savings, access to interest-free credit, and manageable installment plans of up to 24 months.Founded in the vibrant city of Barcelona, seQura is a privately-owned fintech in a dynamic scale-up phase. With a presence in Southern Europe and Latin America, we are experiencing remarkable growth, achieving over 50% CAGR and exceeding 100 million in Annual Recurring Revenue. Our reputation is bolstered by the trust of over 5,000 businesses and 2 million shoppers, with an impressive NPS of 87%, a Trustpilot rating of 4.5/5, and a Glassdoor rating of 4.3/5.About the Role We are seeking a seasoned Senior Data Platform Engineer to join our Data Platform team, where you will play a critical role in scaling seQura’s data ecosystem through innovative automation, robust platform capabilities, and intuitive self-service tooling.Your primary mission will be to advance our Data Platform as a Product, empowering software engineers, analysts, data scientists, and business teams to harness data effectively throughout its lifecycle—from ingestion to discovery—while embedding security, governance, and reliability into the platform by default. You will enable teams across the organization to access trusted data and make informed, data-driven decisions.This position extends beyond merely constructing data pipelines; you will be responsible for designing the guardrails, abstractions, and platform capabilities that facilitate other teams in building and scaling their own data products safely and efficiently.You will thrive in our cloud-native AWS environment, where Infrastructure as Code, observability, and automation are foundational engineering principles.Challenges You'll Tackle ...
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.
At Xenon7, we collaborate with premier enterprises and dynamic startups on groundbreaking projects that harness the latest technologies across various IT domains, such as Data, Web, Infrastructure, AI, and more. Our proficiency in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global corporations or partnering with trailblazing startups, we are dedicated to delivering advanced and impactful solutions that address today's most complex challenges.Role OverviewWe are on the lookout for a talented Senior Data Engineer with extensive experience in Python, Databricks, Snowflake, and AWS to architect, develop, and implement advanced machine learning solutions. The ideal candidate will have a profound understanding of supply chain management, particularly in inventory management, and exhibit hands-on experience with machine learning algorithms such as time series forecasting, regression models, and neural networks.This role requires complete ownership from gathering business requirements to delivering solutions, along with strong communication and stakeholder management skills.Responsibilities Work closely with business stakeholders to gather and analyze requirements, ensuring alignment with project goals. Design and implement ML models tailored for supply chain and inventory management applications. Utilize Python, Databricks, and Snowflake for data preparation, modeling, and pipeline construction. Employ AWS services to build, deploy, and scale ML solutions within production environments. Use advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models. Facilitate discussions, present solutions, and take full ownership of the ML delivery process from start to finish. Continuously evaluate, monitor, and enhance model performance.
Ebury empowers ambitious businesses to achieve global growth, and we apply this same philosophy to our team members. We promote innovation, collaboration, and problem-solving while creating an inclusive environment where everyone feels valued and supported to succeed.If you’re a team player eager to revolutionize the way businesses function on a global scale, we invite you to connect with us. Ebury is excited to help accelerate your career and enable you to shape the future.Senior Data Platform EngineerMadrid Office - Hybrid: 4 days in the office, 1 day working from homeBecome a key part of our Data Team at Ebury's Madrid Office.Our ambitious growth strategy hinges on the success of our Data team, and we are looking for a Senior Data Engineer to join our Data Platform team! Our goal is to develop, maintain, and enhance Ebury’s Data Platform focusing on scalable, robust, and innovative frameworks.In your role as a Senior Data Platform Engineer, you will collaborate with your team to develop and improve our Data Platform.
Join Aircall as a Senior Data Engineer specializing in Analytics to drive our data initiatives and support our decision-making processes. You will collaborate closely with cross-functional teams to harness data and deliver actionable insights that will improve our product and customer experience.
Join neoris as a Senior Data Engineer and leverage your expertise to drive data-driven solutions. In this role, you will design, develop, and maintain robust data pipelines, ensuring the seamless flow of information across our systems. Collaborate with cross-functional teams to enhance our data infrastructure and contribute to the overall success of our data initiatives.
Rithum™ is the leading global commerce network, revolutionizing the collaboration between brands, suppliers, and retailers to create seamless e-commerce experiences. Our unmatched platform empowers businesses to drive growth, streamline operations across multiple channels, expand product offerings, and improve profit margins. Currently, over 40,000 companies rely on Rithum to enhance their business across numerous channels, collectively representing more than $50 billion in annual Gross Merchandise Volume (GMV). By utilizing our comprehensive commerce, marketing, and delivery solutions, our clients are able to deliver optimized shopping experiences that engage consumers from start to finish.
Role overview Nexthink seeks a Senior Data Engineering Tech Lead based in Madrid to shape the company’s data architecture and guide a talented engineering team. This position centers on building and refining data solutions that power Nexthink’s products and enhance the experience for users. What you will do Lead and mentor a team of data engineers, offering technical guidance and day-to-day support. Direct the design and deployment of data pipelines and analytics systems. Collaborate with teams throughout Nexthink to uphold data integrity, improve system performance, and ensure platforms can scale effectively. Tackle complex data problems and contribute to the ongoing evolution of Nexthink’s platform.
Intetics Inc., a premier American technology firm specializing in tailored software solutions, is seeking a talented Senior Data Support Engineer to join our innovative team. We pride ourselves on providing exceptional software application development, creating distributed professional teams, and delivering comprehensive digital solutions.
Join Lighthouse as a Senior Data Engineer and play a pivotal role in shaping our data infrastructure. You will be responsible for designing, developing, and maintaining scalable data pipelines that power our analytics and business intelligence capabilities. In this role, you will work closely with cross-functional teams to ensure data quality and accessibility.Your expertise will help drive strategic decision-making and enhance our products and services. If you are passionate about data and eager to contribute to a dynamic team, we want to hear from you!
Join Sopra Steria as a Senior Data Engineer and be a pivotal part of our dynamic team in Barcelona! In this crucial role, you will design and implement data solutions that drive business insights and efficiencies. You will work on innovative projects that harness the power of data to deliver impactful results.
Project Overview:We are embarking on an innovative initiative to develop a comprehensive Google Cloud Platform solution known as the “Energy Cloud.” This central hub is designed to streamline our digitalization efforts, automating end-to-end business processes and fostering data-driven decision-making. Our current Google Cloud environment will be enhanced by integrating additional vital data sources and creating a modern, scalable data architecture. A key focus area of this project is the digitization of financial data and processes, where your expertise will be invaluable.Role Responsibilities:As a Senior Data Engineer, you will play a pivotal role within the finance department of PASM, collaborating closely with stakeholders from controlling and accounting, and potentially with a new data scientist. You will also benefit from guidance and insights from the main data science team. While your work will primarily be virtual, you will participate in on-site sessions in Germany. Your primary responsibility will be to design and implement a reliable, state-of-the-art database, establishing efficient structures and processes that transform raw data into ready-to-use data products for processing and visualization. Success in this role hinges not just on technical skills but also on your ability to grasp business and finance concepts, comprehend relevant data, and understand stakeholder needs.About PASM: PASM is committed to providing sustainable energy and infrastructure solutions for all Deutsche Telekom locations in Germany. We focus on supplying our customers with 100% green electricity, ensuring reliable delivery, price stability, and leading the green energy transformation at Deutsche Telekom.
Role overview Ebury is hiring a Senior Data Engineer for its AI Platform team in Málaga. This position is part of the Data Platform Engineering group, which is central to Ebury’s growth. The team is responsible for developing and maintaining the core Data Platform, with a current emphasis on building the Agentic Data Plane (ADP). The ADP acts as a unified, governed layer that connects AI and agentic products, streamlining data flow while maintaining governance, data lineage, traceability, and replayability. Location and work arrangement Primary location: Málaga (Madrid is also an option) Hybrid schedule: 4 days onsite, 1 day remote per week What you will do Collaborate with the Data Platform team and cross-functional domain teams Design and implement platform features for secure, scalable delivery of AI and agentic products Advance the Agentic Data Plane (ADP) to enhance data communication, governance, and traceability
Role overview T-Systems Iberia seeks a Senior Data Engineer in Granada to focus on Databricks. The main responsibility is to design, build, and improve data pipelines and architectures that address business needs. What you will do Create and maintain data pipelines using Databricks. Collaborate with colleagues from different teams to keep data accurate and reliable. Optimize data systems for analytics and reporting purposes. Support the delivery of insights that influence decision-making across the company. Location This position is based in Granada.
Role overview AECOM is hiring a Senior Electrical Engineer in Madrid to work on data center projects. The role centers on designing, developing, and implementing electrical systems that keep data centers reliable and efficient. What you will do Design and develop electrical solutions for data center facilities Lead projects from the initial concept stage through completion Collaborate with multidisciplinary teams to deliver projects on schedule Support improvements in energy efficiency and performance across data center operations Ensure engineering solutions align with client needs and meet quality standards Requirements Extensive experience in electrical engineering, preferably with data center projects Strong collaboration skills and a commitment to delivering high-quality work Ability to manage multiple projects and coordinate with cross-functional teams This position offers the chance to play a central role in shaping AECOM's data center infrastructure projects.
We invite you to submit your CV in English and please specify your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with exciting, project-based AI opportunities at leading technology firms. Our focus is on assessing and enhancing AI systems through innovative engagements. Note: Participation is strictly project-based and does not constitute permanent employment.What You Will Be Doing:Each project presents distinct challenges, and contributors are expected to:Craft original computational data science problems that accurately mimic real-world analytical scenarios across diverse sectors (telecommunications, finance, government, e-commerce, healthcare).Develop problems that necessitate Python programming for resolution, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure that the tasks are computationally demanding and cannot be solved manually within a reasonable timeframe (days or weeks).Formulate complex problems that require intricate reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting actionable insights.Create deterministic scenarios yielding reproducible outcomes, avoiding stochastic elements or specifying fixed random seeds for exact replication.Base your problems on genuine business challenges, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and enhancing operational efficiency.Design comprehensive problems that encompass the entire data science pipeline: from data ingestion, cleaning, exploratory data analysis (EDA), modeling, to validation and deployment considerations.Integrate big data processing elements that necessitate scalable computational methods.Validate solutions using Python with recognized data science libraries and statistical methodologies.Accurately document problem statements within realistic business contexts and provide verified correct solutions.What We Seek:This role is ideal for Data Science experts with Python experience seeking part-time, non-permanent engagements. The ideal candidates will have:5+ years of practical experience in data science demonstrating measurable business impact.A portfolio showcasing completed projects and publications that exhibit real-world problem-solving capabilities.Proficiency in Python programming for data science applications (including Pandas, Numpy, Scipy, Scikit-learn, Statsmodels).Deep expertise in statistical analysis and machine learning, with a solid grasp of algorithms, methodologies, and their practical applications.Advanced skills in SQL and database operations for data manipulation and analysis.Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).Understanding of MLOps practices and model deployment workflows.Knowledge of contemporary frameworks (TensorFlow, PyTorch, LangChain).Strong command of written English (C1+ level).How It Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Please submit your CV in English and indicate your English proficiency level. This freelance, project-based contract connects data scientists with AI assignments for top technology companies. The work centers on designing and validating computational challenges that mirror real-world analytics in industries such as telecom, finance, government, e-commerce, and healthcare. This is not a permanent position. Key Responsibilities Design data science problems that reflect authentic analytical workflows and business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency improvements. Develop computationally intensive challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Write tasks involving advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting actionable insights. Ensure all problems are deterministic and reproducible, using fixed seeds for any random elements. Design end-to-end projects spanning the full data science lifecycle: data ingestion, cleaning, exploratory data analysis (EDA), modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable computational solutions. Validate solutions in Python with standard data science libraries and statistical techniques. Document each challenge clearly within a business context and provide verified, correct answers. Location This role is remote and based in València, Valencian Community, Spain.
