Artlogic

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Junior Data Engineer on a 6-month FTC, paying "pay rate". It is remote (UK or US). Key skills include Python, SQL, ETL, and data accuracy. Experience with FileMaker or NoSQL is desirable.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 23, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Data Integrity #Documentation #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #NoSQL #REST API #Python #Data Accuracy #Cloud #Data Mapping #JSON (JavaScript Object Notation) #Regular Expressions #Unit Testing #AI (Artificial Intelligence) #Pandas #SQL (Structured Query Language) #CRM (Customer Relationship Management) #Libraries #Data Migration #Ruby #Migration #R #REST (Representational State Transfer) #Scala #Databases #C# #XML (eXtensible Markup Language)
Role description
Reports to: Data Migration Team Lead Works with: Data Migration team Hours: 40 pw (9.30-6pm Monday to Friday, 1 hour lunch) Term: FTC - 6 months Location: UK or US (Remote) About us Artlogic is a leading technology platform for the art world. Founded in 1989, Artlogic empowers over 6,000 galleries, dealers, and art professionals worldwide to streamline their operations and grow their businesses. The company’s integrated platform combines inventory management, CRM, websites, sales, marketing, and payment tools, everything needed to run a modern and successful art business. In 2021, Artlogic was acquired by tech investors Cove Hill Partners to accelerate innovation and expand its global reach. Since then, the company has doubled in size, with employees across London, New York, Atlanta, and Cape Town. Today, Artlogic is entering an exciting new chapter through its merger with ArtCloud, another industry leader in art technology. Together, the two companies are uniting complementary platforms to build the most comprehensive, forward-thinking solution for the art world. This collaboration brings together deep expertise across CRM, sales, marketing, inventory, payments, and AI-powered tools, empowering galleries, artists, and collectors worldwide. Joining Artlogic means becoming part of a growing global team that is shaping the future of how art is bought, sold, and managed, both online and in person. The Data Migration team operates within the Customer function, combining both technical and project delivery responsibilities. Project Managers act as the primary client interface, coordinating communication and requirements. Data Migration Specialists are responsible for technical execution, including ETL processes and solution design The team also contributes to internal R&D, building tools and applications to improve migration efficiency and scalability The Role As a Junior Data Engineer, you will be a vital part of the team responsible for the lifeblood of our onboarding process: client data. You will help bridge the gap between legacy client systems and the Artlogic ecosystem by building and executing robust ETL (Extract, Transform, Load) pipelines. This role is ideal for a developer early in their career who loves the "puzzle" aspect of data. You will work within the Data Migration team to dismantle complex external data structures (Relational data, FileMaker), reassemble them into our sophisticated data model, and contribute to the internal Python/Ruby libraries that make our migrations faster and smarter. You will be mentored by senior engineers and work closely with Project Managers to ensure a seamless transition for our clients. Key Responsibilities ETL Development & Execution β€’ Execute End-to-End Migrations: Learn to navigate the full migration lifecycle, moving data from diverse client environments into Artlogic. β€’ Extraction: Use scripts and tools to pull data from external platforms (e.g., FileMaker, legacy SQL databases). β€’ Transformation: Write clean, maintainable code to map, clean, and transform "messy" legacy data to fit the Artlogic schema. β€’ QA & Validation: Perform rigorous data validation and unit testing to ensure 100% accuracy and data integrity before go-live. Technical Growth & Tooling β€’ Code Contribution: Assist in developing and maintaining our internal migration frameworks and R&D tools. β€’ Pipeline Optimization: Identify repetitive tasks in your daily workflow and work with senior engineers to automate them. β€’ Systems Analysis: Research unknown database structures to determine the most efficient extraction methods. Collaboration & Project Delivery β€’ Cross-functional Teamwork: Partner with Client Liaison Project Managers to understand client-specific data nuances. β€’ Documentation: Document migration mappings and technical edge cases to ensure knowledge is shared across the team. β€’ Iterative Delivery: Adapt migration scripts quickly as project requirements evolve during the onboarding phase. AI & Data β€’ AI Recommendation Verification and Data Mapping: Review and verify AI (Claude) recommendations for column mappings during cloud data migration, including confirming that columns fit perfectly or identifying where data requires manipulation or concatenation. β€’ Data Transformation and Cloud Push: Perform final data transformation steps using basic Python, Pandas, and Reax code to prepare and push relational data from Excel into the cloud environment. Key Attributes β€’ Data Integrity: Success is measured by the accuracy of migrated data and the absence of "broken" records post-launch. β€’ Technical Progression: Demonstrates a growing ability to handle increasingly complex data structures with less supervision. β€’ Code Quality: Contributions to internal libraries follow team standards and improve overall migration speed. β€’ Reliability: Consistently meets project milestones and keeps stakeholders informed of technical blockers. About You β€’ Coding Foundations: Proficiency in at least one object-oriented languageβ€”Python is preferred, but we also value strong logic in C#. β€’ SQL & Data Logic: Solid understanding of relational databases (Joins, Keys, Indexes) and how to manipulate data structures. β€’ Problem-Solving Mindset: You enjoy the "detective work" of figuring out how a legacy system was built and how to extract its value. β€’ Detail Oriented: An obsession with data accuracy; you catch the "edge case" before it becomes a bug. β€’ Communication: Ability to explain technical data hurdles to non-technical Project Managers. Desirable β€’ The "Data Stack": Experience with ETL tools, pandas (Python), or regular expressions (Regex). β€’ API Knowledge: Familiarity with REST APIs and how to handle JSON/XML data. β€’ Niche Systems: Previous exposure to FileMaker (Claris) or NoSQL environments. β€’ Web Basics: A high-level understanding of how back-end data interacts with front-end UIs. Artlogic is an equal opportunities employer Artlogic is an equal opportunities employer. We are committed to fair and inclusive recruitment and employment practices. We welcome applications from all suitably qualified candidates. We are committed to making reasonable adjustments for disabled applicants and employees. If you have a disability and would like us to make adjustments to the application or interview process, or to discuss any adjustments to the role, please let us know. Please note that this position is UK or US based. Candidates must therefore have, or be able to obtain, appropriate immigration status entitling them to work in the UK or US for us in the role. Please note that we [do not have a sponsor licence] and we are not able to offer visa sponsorship for this position. The successful candidate will need to provide evidence/information to enable us to verify their right to work, prior to commencement of employment, and in accordance with current Home Office right to work guidance.