Big Data Developer - Relocation to Spain

About the Role Talan is looking for a Big Data Developer to help strengthen data-driven solutions. This position is based in Buenos Aires and includes relocation to Spain.

Join our dynamic team as a Senior Full Stack Developer at Talan, where you will have the opportunity to work on innovative projects and lead the development of cutting-edge solutions. This role offers the chance to relocate to beautiful Spain, providing both personal and professional growth in a vibrant environment.As a Senior Full Stack Developer, you will be responsible for designing, developing, and maintaining web applications using a variety of technologies. Your expertise in both front-end and back-end development will be crucial in delivering high-quality products that meet our clients' needs.

Join Talan as a Senior Data Lead Engineer and take your career to the next level while enjoying a relocation opportunity to beautiful Spain! We are looking for an expert in data engineering who can lead innovative projects and drive our data strategy forward.In this role, you will be responsible for designing and implementing robust data architectures, ensuring data quality, and optimizing data workflows. You will collaborate with cross-functional teams to harness data and deliver insights that empower decision-making.

Join Our Team as a Data EngineerAt AlixPartners, we are dedicated to solving complex challenges by transforming insights into innovative solutions that deliver lasting value to businesses, their people, and the communities we serve. Our products are strategically designed to create meaningful impact, ensuring sustainable growth and success for our clients. We cherish the diversity of thoughts and experiences that our employees bring to our firm and are committed to fostering an inclusive environment where everyone can thrive.Embracing a hybrid work model, AlixPartners supports our team members in achieving work-life integration. This role combines both in-person and remote work, engaging users appropriately in business conferences and in-person workshops while adhering to a traditional product development cadence.

Join Despegar, a leading online travel agency in Latin America, as a Senior Business Development Analyst. In this pivotal role, you will leverage your expertise in data analysis and market research to drive strategic initiatives and enhance our business growth. You will collaborate closely with cross-functional teams to identify opportunities for expansion, optimize processes, and develop actionable insights that contribute to our mission of simplifying travel for our customers.

Join Our Team as a Data Consultant At AlixPartners, we tackle the most intricate and urgent challenges by swiftly transitioning from analysis to action, generating value that leaves a lasting impression on businesses, their teams, and the communities they engage with. We are dedicated to fostering an inclusive environment by understanding, respecting, and honoring the needs of our employees, clients, and communities. Our commitment to diversity enriches our experiences, and we continuously enhance our initiatives, policies, and practices to uphold equity and authenticity for all. AlixPartners embraces a hybrid work model, offering flexibility to support our employees' work-life integration. This model combines in-person collaboration (at client sites or AlixPartners offices) with remote working. While travel is part of this role, the frequency will vary based on client needs, team dynamics, and individual circumstances.What You Will DoIf you are driven by a desire to exceed expectations, AlixPartners is the place where your passion transforms into your career. Our teams are composed of smaller, senior members who bring extensive industry and functional expertise to our clients. You will work closely with owners, boards, and CEOs to tackle issues that are often at the forefront of their agendas and make headlines.As a part of our practice, you will engage with financially sound yet under-performing and distressed companies in various urgent, high-impact scenarios. Our elite professionals are acknowledged experts in their fields, utilizing their skills and experiences to deliver measurable improvements for our clients.In this role, you will have the opportunity to create ETL workflows, scripts, statistical models, and visualizations, while overseeing the design, development, testing, execution, and support of data migration, cleansing, and wrangling processes. The ideal candidate will possess a comprehensive understanding of the underlying data structures across multiple systems, enabling in-depth analysis of existing and potential data insights.We welcome applications from candidates at various experience levels – apply to learn more!Within our teams, you could be engaged in:Data Modeling Selecting features, building, and optimizing classifiers using machine learning techniques Executing machine learning projects employing state-of-the-art methods Integrating third-party data sources when necessary Automating data processes to enhance efficiency

Xometry (NASDAQ: XMTR) is at the forefront of transforming the manufacturing landscape by seamlessly connecting innovative thinkers with manufacturers capable of bringing their visions to life. Our digital marketplace equips manufacturers with essential resources to scale their operations, while simultaneously allowing Fortune 1000 buyers to access a diverse global manufacturing network.We are currently seeking a detail-oriented and analytical Data Analyst to join our dynamic team in Buenos Aires. This pivotal role will focus on enhancing our operational forecasting across various functions, including quoting, ordering, sourcing, and shipping. You will be responsible for developing accurate forecasts, establishing a results-driven Sales and Operations process with measurable metrics, and generating insightful reports. The ideal candidate will bring a solid foundation in forecasting, advanced Excel modeling capabilities, and a demonstrated ability to analyze extensive datasets to drive strategic business decisions. A self-starter who can effectively influence senior management and steer both strategy and daily operations is essential for this role.

Role Overview GoFundMe is hiring a Senior Data Engineer in Buenos Aires, Argentina. This role focuses on building and maintaining the data systems that power the company’s crowdfunding platform. The Senior Data Engineer will help design, implement, and support data pipelines and infrastructure that drive key decisions across the business. What You Will Do Shape and refine data architecture to meet evolving business needs Design, build, and maintain data pipelines for reliable data flow Support data-driven decision-making by ensuring data quality and accessibility This work directly supports GoFundMe’s mission to empower people through crowdfunding.

Role overview The Senior Data Architect at betsol in Buenos Aires plays a key part in how data is organized and accessed throughout the company. This position focuses on designing and building data solutions that strengthen business intelligence and enhance how data is managed. What you will do Design and build scalable data architectures tailored to business requirements. Collaborate with cross-functional teams to create solutions that enable data-driven decision making. Develop and optimize data models with an emphasis on performance and scalability. Mentor junior colleagues and help foster a culture of ongoing learning and improvement. Requirements Proven experience designing data architectures for complex organizations. Strong skills in data modeling and supporting business intelligence initiatives. Ability to work well with colleagues in different roles and communicate technical concepts clearly. Interest in mentoring and supporting the growth of team members.

About So Shall We:At So Shall We, we collaborate with mid-market owners and executives in the United States to foster bottom-line growth while ensuring mutual benefits. We combine consulting expertise with full-stack execution and aligned incentives to resolve the challenges of the traditional agency model.We stand for simplicity in growth, making the journey towards success feel effortless.Your growth is our priority.Your MissionAs a Data Specialist, you will be the cornerstone of our data operations, spearheading the development, structure, and ongoing integrity of our data warehouse. This pivotal role will empower enhanced decision-making, fuel our internal systems, and underpin future data-driven initiatives company-wide.In the initial phases, you will collaborate with an external consultant to define and establish a scalable, reliable data infrastructure, ultimately taking full ownership of its maintenance and evolution.This role is significantly impactful and hands-on, offering opportunities for collaboration with teams such as AI, Tech Onboarding, and leadership to ensure our data ecosystem is robust, efficient, and designed for scalability.What You’ll DoData Infrastructure & OwnershipLead the development, organization, and long-term maintenance of the company's data warehouse.Guarantee data reliability, consistency, and overall health across all systems and pipelines.Establish best practices for data storage, organization, and governance.Data Warehouse DevelopmentCollaborate closely with an external consultant to design and implement the foundational data warehouse architecture.Reach consensus on critical decisions involving data structure, storage solutions (e.g., BigQuery), and scalability.Ensure seamless connection and integration of all data sources.Data Maintenance & OptimizationOversee the performance, costs, and efficiency of the data infrastructure.Identify and troubleshoot issues within data pipelines, connections, and storage.Continuously enhance data architecture to accommodate expanding business needs.Cross-Functional CollaborationPartner with AI and Tech Onboarding teams to facilitate data-driven systems and workflows.

Join Belong as a Financial Data Analyst, where you'll transform financial data into strategic insights. You will extract, analyze, and structure data from various sources, enabling us to make informed decisions that drive our mission of empowering homeownership. Your role will evolve from generating reports to automating processes and enhancing integrations between our management and accounting systems. If you have a passion for data, a keen analytical mindset, and a desire to solve complex problems, this is the perfect opportunity for you.

Join a pioneering global technology group designed for the future, where exceptional professionals engage in high-stakes projects that define their careers. At qodea, you're not just tackling assignments; you're innovating solutions to challenges that have yet to be addressed.As a member of our elite team, you will collaborate with industry leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover, especially when faced with tight deadlines or when others have encountered obstacles. When a solution is imperative, our teams deliver.Forget mundane consultancy roles; here you will work at the intersection of technology, design, and human behavior, producing rapid, impactful results. This is work that leaves a legacy, and you'll take pride in sharing your accomplishments.Role OverviewWe are seeking a dynamic and skilled Senior Data Engineer to develop and sustain the data pipelines that fuel our cloud and AI solutions. You will manage large datasets, ensuring they are effectively processed and enriched for downstream applications, with a strong emphasis on reliability, scalability, and performance in a cloud-native context.As a Senior Data Engineer at qodea, you will:Create and oversee batch and real-time data pipelines to process product and consumer data.Execute data transformations for deduplication, entity resolution, and feature engineering.Enhance pipeline performance and guarantee high availability within GCP environments.Maintain metadata layers and embeddings for machine learning and personalization services.Ensure data quality through robust validation rules and automated monitoring.Collaborate closely with machine learning engineers to supply high-quality data for model training.Preferred Qualifications:Proven experience with Python, Java, or Scala for data processing.Expertise in BigQuery, SQL, and dbt for managing substantial datasets.Familiarity with various data structures and formats.A detail-oriented approach to data lifecycle management and schema design.Experience with streaming technologies such as Pub/Sub or Kafka.Additional Qualities:Familiarity with MLOps principles and model deployment.Experience in sectors such as fintech or e-commerce is a plus.What We Expect:We are establishing a top-tier delivery center in Buenos Aires and aim to attract the finest engineering talent in the region. We believe that the best results arise from in-person collaboration. We anticipate your presence in the office one to two days a week when not engaged in project work, fostering our culture and enabling spontaneous problem-solving. Your energy and involvement will be crucial in shaping our team dynamics.

Role Overview Coderio is looking for a Senior Analytics Data Engineer in Buenos Aires. This role focuses on shaping data into practical insights that support business decisions and operational improvements. The engineer will use advanced analytics tools and methods to help refine and implement Coderio’s data strategy. What You Will Do Work with cross-functional teams to understand data needs and requirements Build and implement data solutions that support analytics and reporting Apply advanced analytics tools and methodologies to drive efficiencies Contribute to ongoing improvements in data processes and strategy Location This position is based in Buenos Aires.

Join psicro as a Hybrid Business Analyst and Power BI Developer! In this dynamic role, you will leverage your analytical skills to drive process improvements and develop insightful data visualizations using Power BI. Collaborate with cross-functional teams to identify business needs and deliver solutions that enhance operational efficiency.

Join our innovative team at Monks as a Business Intelligence Data Analyst, where you will play a pivotal role in transforming data into actionable insights. You will collaborate closely with various departments to identify key performance indicators and drive strategic decision-making through data analysis.Your analytical expertise will be crucial in developing and maintaining data models, dashboards, and reports that empower our stakeholders to make informed decisions. If you are passionate about data and thrive in a dynamic environment, we want to hear from you!

Xometry (NASDAQ: XMTR) is at the forefront of modern manufacturing, connecting innovative thinkers with manufacturers who can transform their ideas into reality. Our digital marketplace equips manufacturers with essential resources for business growth while enabling Fortune 1000 companies to access global manufacturing capabilities seamlessly.Senior Data EngineerWe are seeking a passionate Senior Data Engineer to join our Marketplace Services team. In this role, you will play a critical part in building and maintaining Xometry's core data pipelines and models, which are vital for analyzing key business performance metrics. You will also contribute to scaling data modeling efforts across our global entities, ensuring that your impact is felt throughout our rapidly expanding organization.Key Responsibilities:Collaborate closely with data scientists, ML engineers, and product teams to translate business requirements into scalable, maintainable data solutions.Design, document, and maintain robust data pipelines utilizing tools such as dbt, Dagster, Snowflake, Estuary, and Airbyte.Facilitate deployment and release of features through software integration to enhance devops and CI/CD processes.Architect, build, and manage cloud-based (AWS) data infrastructure, optimizing for scalability, performance, and cost-effectiveness as our data volume increases.Create frameworks and internal self-service tools that empower the data team to deliver value more efficiently.

As the Lead Data Manager for Clinical Trials, you will play a pivotal role in overseeing comprehensive data management activities for large, complex studies, while also managing smaller projects with minimal supervision.CommunicationAct as the primary communication liaison for project teams and internal departments concerning clinical data management.Serve as the main contact point for clients and vendors regarding all data management elements of clinical projects and reporting.Data ManagementOversee coordination of data management tasks within clinical projects, including EDC development, data collection, cleaning, reconciliation, Database Lock, and the creation of final integrated databases and deliverables.Take lead on clinical data management activities, which involve:Review of study documentsDevelopment and review of Data Management plans and project-specific guidelinesCoordination and execution of user acceptance testingCreation of Data Validation Plans and Edit Check SpecificationsSupervision of data entry processes and providing feedback to data entry staff regarding data quality and issuesConducting data validation through both automated and manual inspections, resolving discrepancies, generating queries, and communicating with clinical trial teams on data qualityHandling non-CRF electronic data (including receiving, archiving, and loading into study databases, resolving reconciliation issues, and liaising with vendors on data quality)Managing database edits for paper CRF studiesPerforming manual CRF reviews (non-medical checks)Executing the clinical database lockSupervising the processing, dispatch, and archiving of CRFs/queriesContribute to the design of CRFs and other data collection forms, ensuring accuracy and compliance with protocols.Develop CRF completion guidelines.Engage in medical data coding using coding dictionaries and reviewing coding listings (additional training may be required for Lead DMs with medical/biology backgrounds).Conduct SAE reconciliation.Review and approve electronic data transfer specifications.Document ManagementCollaborate with the Document Center to maintain the TMF and eTMF.Quality ControlPerform database QC checks and maintain thorough documentation.Participate in internal and third-party audits/inspections related to Data Management.Assist in addressing and resolving audit findings pertaining to Data Management.TrainingProvide training and support to team members as necessary.

Join a pioneering global technology group that's redefining the future. At Qodea, we empower high-caliber professionals to tackle high-stakes challenges that shape their careers. By becoming part of our team, you’re not just taking on projects; you're pioneering solutions to problems that have yet to be resolved.Our elite network of talent is sought after by industry giants such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover, especially when deadlines are tight and previous attempts have faltered. Here, you won't engage in traditional consultancy; instead, you will operate at the intersection of technology, design, and human behavior to deliver impactful results swiftly. This is work that leaves a legacy, and you’ll take pride in sharing your journey.We seek individuals who embody:- Innovation in solving complex challenges.- Accountability for every outcome.- Integrity in all endeavors.Role OverviewWe are on the lookout for a visionary leader who can seamlessly connect advanced analytical research with practical, scalable solutions. As a Principal Data Science Engineer, you will utilize knowledge graphs, statistical models, and large language models to develop hybrid inference systems that generate substantial business value. You will be both a researcher and an innovator, striking a balance between theoretical insights and practical application.Responsibilities:Lead the development of advanced recommendation systems and AI-driven reasoning tools.Design hybrid inference frameworks that integrate LLM outputs with structured data sources like knowledge graphs.Implement data vectorization techniques for both textual and graphical data.Research and deploy novel graph-based technologies and algorithms to address intricate problems.Architect solutions that are resilient, trustworthy, and scalable for production environments.Shape company strategy by foreseeing future demands and navigating uncertainty.Qualifications That Will Set You Apart:Deep expertise in graph data modeling and analytics using tools such as Neo4j.Hands-on experience integrating LLMs for tasks like text analysis and data mapping.Proficiency in prompt engineering to direct LLM behavior for specific business outcomes.Solid experience with distributed computing frameworks for large-scale data transformation.A proven history of articulating well-reasoned perspectives to drive optimal technical results.Preferred Qualifications:Previous experience in the adtech or fintech sectors.Master's or PhD in a relevant AI or quantitative discipline.What We Expect:We are developing a world-class delivery center in Buenos Aires and are eager to attract the finest engineering talent in the region. We believe that the best work flourishes through in-person collaboration. A genuine commitment to being present in the office is essential.

Role overview The Senior Staff Data Platform Architect at GoFundMe will play a central part in shaping data solutions for the platform. Based in Buenos Aires, Argentina, this position focuses on designing and delivering systems that help the company use data to improve its services. What you will do Guide the technical direction for GoFundMe's data platform. Design solutions that enable data-driven decision making. Influence how data is used to enhance user experiences across the platform. Location This position is based in Buenos Aires, Argentina.

Work Arrangement and Location This is a full-time position based in Buenos Aires, Argentina. Flexible work options are available: choose hybrid or fully remote arrangements to fit your needs. Role Overview Trinetix is looking for a Senior SQL Data Engineer with strong Power BI skills. The role centers on managing the data and analytics support queue, with responsibility for monitoring, troubleshooting, and resolving issues across cloud data platforms, ETL/ELT pipelines, and Power BI reporting. The position also involves handling SQL-level data fixes and record corrections that come from application support queues. At least 5 years of relevant experience is required for this role, as specified by contractual staffing requirements. What You Will Do Manage the data and analytics support queue, addressing pipeline failures, ETL/ELT errors, and Power BI dashboard issues Oversee and correct data pipelines in Azure and AWS environments Develop and run SQL scripts for data corrections, record adjustments, and diagnostic queries Support Snowflake and Databricks, including query optimization, job failure analysis, and cluster management Maintain CI/CD pipelines to support data operations, including Tier 1 monitoring and Tier 2 remediation Handle SQL-intensive overflow tickets from application support queues, such as HUB-Report and data corrections Work with client data teams on schema changes, pipeline improvements, and capacity planning Implement minor enhancements to data platforms (projects up to 80 engineering hours) Support vehicle telematics data infrastructure and related ingestion pipelines Required Technical Skills Azure: Proficiency with Data Factory, Azure SQL, and Synapse Analytics (minimum 5 years required) AWS: Experience with S3, RDS, and Glue for data pipeline and infrastructure support Snowflake: Ability to write queries, load data, troubleshoot performance, and use Snowpipe Databricks: Skilled in executing notebooks, managing clusters, diagnosing job failures, and understanding Delta Lake basics Power BI: Expertise in dashboard connectivity, troubleshooting data sources, resolving refresh failures, and basic DAX SQL: Advanced knowledge for complex queries, stored procedures, and performance tuning across SQL Server and cloud databases Pipeline Tools: Familiarity with Apache Airflow or Azure Data Factory for monitoring and repairing DAGs/pipelines Python: Proficient in scripting for data transformation, automation, and diagnostics