Senior Data Engineer

RithumSpain - Remote

Remote Full-time

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Experience Level

Senior

Qualifications

Key ResponsibilitiesDesign and implement scalable ETL/ELT workflows utilizing AWS resources (e.g., S3, Kinesis, Glue, Redshift, Athena) to handle both batch and streaming data. Architect and maintain cloud-native data platforms featuring automated ingestion, transformation, and governance pipelines, employing tools such as DBT, Apache Spark, Delta Lake, Airflow, and Databricks. Collaborate with stakeholders from Product, BI, and Support teams to address data-related technical challenges and support infrastructure requirements. Work alongside cross-functional engineering teams to utilize analytics for anticipating data needs and proactively delivering solutions. Contribute to optimizing data lake/lakehouse infrastructure to facilitate AI workloads and large-scale analytics.

About the job

With over 40,000 businesses relying on Rithum to enhance their operations across a multitude of channels, we collectively facilitate more than $50 billion in annual GMV. Our comprehensive commerce, marketing, and delivery solutions allow clients to curate optimized consumer shopping journeys from start to finish.

Position Overview

As a Senior Data Engineer, you will play an integral role in the design, development, and maintenance of sophisticated data infrastructure that fuels advanced analytics. You are an adept data engineer skilled in ETL pipeline construction and dimensional modeling, eager to harness AI as a vital partner. Your expertise will ensure that AI is utilized effectively for the sustainable success of our business systems. You will be tasked with creating elaborate data pipelines from scratch, enhancing our database infrastructure to support advanced analytics, AI-driven insights, and automated data operations. Collaborating across various teams, including product, engineering, data science, and data analysis, you will enhance our cloud data architecture to meet the demands of both external clients and internal stakeholders.

About Rithum

Rithum™ is a premier commerce network that enhances the way brands, suppliers, and retailers interact, ensuring seamless e-commerce experiences. We empower over 40,000 companies to achieve business growth through our cutting-edge platform and solutions.

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Senior Python Data Scraping Engineer

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Role overview Jobgether seeks a Senior Python Data Scraping Engineer to join as a freelancer, working remotely from Spain. This role focuses on building and improving web data extraction systems that process large datasets and adapt to complex, dynamic websites. What you will do Design, develop, and maintain scalable web scraping solutions in Python Address …

Apr 28, 2026

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Freelance Python Data Scraping Engineer

Mindrift

Part-time|$30/hr - $30/hr|Remote|Remote — València, Valencian Community, Spain

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May 1, 2026

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Feb 26, 2026

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Freelance Data Science Engineer (Python & SQL) - Remote

Mindrift

Contract|$34/hr - $34/hr|Remote|Remote — València, Valencian Community, Spain

Please submit your CV in English and include your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for major technology companies. The work centers on evaluating, testing, and improving AI systems. This is a freelance, project-based position rather than a permanent role. Role overview This freelance Data Science Engineer position focuses on designing and validating computational challenges that reflect real-world analytical workflows. The projects span sectors such as telecom, finance, government, e-commerce, and healthcare, and require advanced Python and SQL skills. All work is remote, with a location focus on València, Valencian Community, Spain. What you will do Design data science problems that simulate business analytics tasks in various industries. Develop challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure tasks are computationally intensive and cannot be solved manually in a reasonable timeframe. Create complex problems involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Formulate deterministic, reproducible problems by avoiding randomness or using fixed random seeds. Base scenarios on real business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline, including data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing situations that require scalable approaches. Validate solutions in Python using standard data science libraries and statistical techniques. Thoroughly document each problem, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with demonstrable business impact. A portfolio of projects or publications showing real-world problem-solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their uses. Proficiency in SQL and database operations for data analysis. Familiarity with GenAI tools and concepts (such as LLMs, RAG, prompt engineering, and vector databases). Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1+ level). Application process Apply Pass qualification(s) Join a project Complete tasks Receive payment Location: Remote , València, Valencian Community, Spain

Apr 25, 2026

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Feb 13, 2026

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Apr 14, 2026

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Apr 6, 2026

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