• Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow. • Design and evolve the data models that power analytics, operational use cases, and AI/ML across thousands of studios. • Help raise the bar on data reliability — embed governance, testing, and lineage so both people and AI systems can trust the numbers by default. • Partner with product, and other engineering teams to turn ambiguous business problems into robust data solutions. • Evaluate and evolve new approaches with us — data mesh patterns, and emerging AI tooling — and help decide what genuinely earns a place in our stack. • Grow into our financial and regulatory reporting workstream (Finion Capital), where correctness and auditability matter most.

Role Description We're partnering with a growing organisation looking to expand its data team with the addition of a Senior Data Engineer. This is an opportunity to work on a range of data projects, helping to build and optimise modern data solutions that support reporting, analytics, and business decision-making. You'll work closely with both technical and non-technical stakeholders, contributing to the development of scalable data platforms and pipelines while supporting the ongoing evolution of the organisation's data capabilities. - Develop and maintain data pipelines and integration solutions - Support the design and enhancement of cloud-based data platforms - Work with stakeholders to understand and deliver data requirements - Improve data quality, reliability, and performance - Contribute to data architecture and best practice initiatives - Support the delivery of data-driven projects across the business Qualifications - Experience working as a Data Engineer or in a similar data-focused role - Strong SQL and Python skills - Experience building and maintaining data pipelines - Exposure to cloud technologies such as AWS, Azure, or GCP - Understanding of data warehousing - Strong problem-solving and stakeholder engagement skills - Commercial experience working with modern data platforms Benefits - Fully remote working - Competitive salary and benefits package - Exposure to modern technologies and data projects - Flexible working - Opportunities for professional development and progression Company Description

Role Description Enable Data Incorporated is currently seeking a skilled and experienced Azure Data Engineer to join our dynamic team. As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining scalable and reliable data solutions on the Microsoft Azure platform. You will work closely with cross-functional teams to understand data requirements, design and implement data ingestion pipelines, perform data integration and transformation, and implement data storage and retrieval mechanisms. You will also be responsible for monitoring data pipelines and implementing data quality and governance measures. This is an exciting opportunity for a talented Data Engineer who is passionate about working with Azure technologies and wants to contribute to the success of our clients. If you have strong technical skills, a deep understanding of data engineering principles, and hands-on experience with Microsoft Azure, we would love to hear from you. - Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform. - Collaborate with cross-functional teams to gather and analyze data requirements. - Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability. - Perform data integration and transformation activities, ensuring data quality and consistency. - Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage. - Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability. - Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy. - Collaborate with data scientists and analysts to support their data needs and enable data-driven insights. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 5+ years of experience with Big Data technologies. - Strong knowledge and experience with Microsoft Azure cloud platform. - Proficiency in SQL and experience with SQL-based database systems. - Experience with batch and data streaming. - Proficiency in data processing frameworks such as Apache Spark, Apache Hadoop, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB). - Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage. - Experience using Azure Databricks in real-world scenarios. - Experience with data integration and ETL (Extract, Transform, Load) processes. - Strong analytical and problem-solving skills. - Good understanding of data engineering principles and best practices. - Experience with programming languages such as Python or Scala. - Relevant certifications in Azure data services or data engineering are a plus.

Role Description Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Qualifications - At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. - Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies. - Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML). - Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets). - Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving. - Strong attention to detail and commitment to data accuracy. - Self-directed work ethic with ability to troubleshoot independently. - A link to GitHub is a plus. - English proficiency: Upper-intermediate (B2) or above (required). Compensation On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Benefits - Work fully remote on your own schedule with just a laptop and stable internet connection. - Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. - Participate in performance-based bonus programs that reward high-quality work and consistent delivery.