Role Description Health-E Commerce is seeking a Data Engineer to drive the evolution of our modern data platform. As a key member of our centralized Data & Analytics team, you will oversee the design, development, and optimization of data pipelines and infrastructure that power analytics, reporting, and machine learning across the organization. Reporting directly to the Lead of Data Engineering, you will have a direct impact on day 1 for all of our major data pipelines supporting a broad array of use cases. You’ll collaborate closely with Analytics Engineers, Data Scientists, and cross-functional stakeholders in Marketing, Sales, Finance, and Product to ensure our data systems are scalable, reliable, and aligned with business goals. - Build and scale our data engineering stack, including ETL/ELT pipelines, transformation workflows, and compute infrastructure across cloud platforms. - Own the ingestion and integration of new data sources, ensuring they are modeled for downstream analytics, reporting, and machine learning use cases. - Partner with Analytics and Business teams to define requirements and deliver a robust internal data mart that supports self-service reporting and advanced analytics. - Collaborate with Data Science to deploy and maintain machine learning models in production, including MLOps, monitoring, and governance. - Implement and enforce data quality, observability, and governance standards across all pipelines and data assets. - Drive innovation and efficiency by identifying opportunities to improve data architecture, tooling, and team processes. - Support strategic initiatives through data-driven insights, ad hoc analysis, and cross-functional collaboration. Qualifications - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. - Minimum 1-4 years of relevant experience in data engineering, software engineering, or analytics. - Strong SQL and Python proficiency. - Experience working in cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Databricks, Microsoft Fabric). Azure data stack highly preferred. - Experience with analytics and BI platforms (PowerBI or similar). - Strong background in relational databases, ETL tools, scripting languages (Powershell or similar). - Proficiency with Git or other collaborative development workflows (e.g., pull requests, code reviews), working in an agile development environment. - Experience with orchestration tools like Apache Airflow, Prefect, or Azure Data Factory for managing complex data workflows preferred. - Demonstrated ability to build processes that support data transformation, structures, accuracy checking, and workload management. - Understanding of statistical data modeling and supporting infrastructure preferred. - Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions. - A passion for data, curiosity for solving complex problems, and a drive to create business impact through technology. - Experience in the e-commerce, marketing or digital health sectors is a big plus. Benefits - Compensation: $105,000 - 140,000. - Discretionary Annual Bonus Eligibility: Up to 10%. - Medical, Dental, Vision, and 401K with a company match. - Dependent Care, FSA & HSA accounts. - Paid Parental & Bonding Leave. - Flexible PTO & office closure on all major holidays. - Monthly wellness & internet reimbursements. - Professional development including certification support & leadership coaching. - Mental Health resources. - 100% remote within the United States. - Must be able to work EST hours.

• Build and maintain data infrastructure that enables the collection, storage, and retrieval of data; • Create new data flows by integrating our data sources and ensuring they are reliable and efficient; • Develop ETL pipelines, data warehousing, and data modeling to support business needs; • Ensure data quality monitoring, reliability, and lineage by developing processes and tools to identify and correct data quality issues; • Collaborate with other members of the Data & Analytics Team to optimize the data infrastructure and improve data governance; • Provide documentation and training to end-users on data sources, pipelines, and data quality procedures; • Stay current with the latest technologies and techniques related to data engineering, and identify opportunities to improve data infrastructure and analysis.

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace. CREATIVE OPERATIONS We're a creative family, building copy, data, and visual assets for each corner of the Farfetch E-commerce Platform. We are dedicated to providing gold-standard imagery, content, and digital production services for our partners and creating an engaging on-site experience for our customers. THE ROLE You will be responsible for ensuring the accuracy and reliability of information collected through various processes. Your main responsibility will be to do online research, identify identical items across sources, and maintain/ add and/or create accurate product information in our systems. You'll be tasked with identifying inconsistencies and extracting critical product details. WHAT YOU'LL DO - Analyse, create and/or edit information of the items that arrive production accordingly to our guidelines; - Identify similar products across multiple sources; - Verify and validate product information to ensure accuracy and completeness by cross-referencing across multiple sources; - Compare product information to determine if items are the same or different, identifying variations in attributes such as name, description, and other specifications; - Investigate and resolve discrepancies found during the validation process, documenting issues and communicating findings effectively to relevant stakeholders; - Use the internal platform to register and monitor data quality; - Analyse product defects and identify actions required to resolve them. WHO YOU ARE - 1+ years of experience in e-commerce, sales or related field a plus; - Intermediate Excel skills; - Strong attention to detail, with the ability to spot patterns, anomalies, and inconsistencies; - Ability to prioritise and multi-task without compromising on quality standards; - Abstraction, ability to learn new things and work with new tools; - Advanced IT and English skills. EQUAL OPPORTUNITIES STATEMENT - Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. SCAM DISCLAIMER - It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.

Overview Synoptek We are seeking a highly skilled Senior Analyst, BI & Data Insights to join our growing team. In this critical role, you will play a key role in building and maintaining a best-in-class data platform that drives innovation and growth for our transportation and logistics business. You will leverage your expertise in end-to-end Azure data engineering, Snowflake, and a variety of data engineering tools to design, develop, and implement scalable data pipelines for ingesting, transforming, and loading (ETL/ELT) large datasets. You will partner closely with stakeholders across the organization to understand their needs and translate them into clear and concise data visualizations through Data engineering solution. Responsibilities Responsibilities: - Design and implement end-to-end data pipelines utilizing Azure services, including Data Factory, Databricks, Synapse Analytics, and Event Hubs, to ingest, process, and transform data from various sources (e.g., Oracle Mercury Gate, D365, NetSuite, telematics systems, sensors). - Leverage Kafka and StreamSets to ensure real-time data ingestion and low latency processing for critical operational insights. - Develop and maintain data models that optimize data storage, retrieval, and performance within Azure Data Lake Storage and Snowflake. - Write, optimize, and troubleshoot SQL queries within the Snowflake environment. - Collaborate with business stakeholders to understand data requirements and translate them into actionable data solutions. - Implement data governance best practices to ensure data quality, consistency, and compliance with industry regulations. - Monitor and optimize data pipelines for performance, scalability, and cost-effectiveness. - Develop and maintain data quality checks and data cleansing routines to ensure data integrity throughout the data lifecycle. - Develop reports and visualization using Tableau to communicate data insights effectively to technical and non-technical audiences. - Stay current with the latest advancements in Azure data services, data management practices, and transportation & logistics data solutions. Qualifications: - 4+ years of experience as a Data Engineer with a strong focus on Microsoft Azure data technologies. - Proven experience with data pipelines, data ingestion, transformation, and loading (ETL/ELT) processes. - In-depth knowledge of data architecture, data modeling, and data governance principles. - Proficiency in SQL Server, MySQL, PostgreSQL, and NoSQL databases (DynamoDB, MongoDB). - 2+ Years of experience with Snowflake data warehouse - Experience with Python for data manipulation and automation. - Expertise in cloud-based data warehousing solutions like Snowflake. - Working knowledge of data streaming technologies like Kafka and StreamSets. - Familiarity with data visualization tools (Tableau, Power BI, Qlik Sense) a plus. - Experience working in the transportation and logistics domain is highly preferred. - Excellent communication and collaboration skills to work effectively with cross-functional teams. - Strong analytical and problem-solving skills with a passion for data-driven solutions. Technical Skills: - Cloud Platforms: Azure, AWS, - Data warehouse: Snowflake - Data Engineering Tools: Kafka, StreamSets, Databricks, Spark - Data Management: ETL/ELT, Data Architecture, Data Modeling, Data Governance - Programming languages: Python, Java, or Scala. - Databases: SQL Server, MySQL, PostgreSQL, DynamoDB, MongoDB etc. Data visualization tools: Tableau, Power BI, Qliksense Qualifications Education - Bachelor’s degree in Computer Science, Information Technology or related field from an accredited college or university preferred - In lieu of undergraduate degree, the ratio is 1:1 - meaning one year of college equals one year of work experience and vice versa Experience - Customarily has at least 1 year(s) of job-related experience - Familiarity with acquiring and managing data from various sources, including primary and secondary data sources. Skills/Attributes - Synoptek core DNA behaviors: - Clarity: Possesses excellent communication skills, makes a concentrated effort to speak the customer’s language. Ability to field questions with concise, well-constructed responses - OwnIT: Shows integrity, innovation, and accountability in completing daily assignments - Results: Solutions focused and driven to resolve conflict quickly and precisely. Proactively looks for opportunities to contribute to the company’s business goals - Growth: Willing to learn and ask questions. Constantly looking for new ways to improve yourself. Ability to adapt and grow in a fast-paced environment - Team: Embraces both customers and colleagues as team members. Ability to be flexible, respectful, engaged and collaborative Working Conditions We live by the motto ‘work hard, play hard’ and strive to support our employees in both their professional and personal goals. We believe that by hiring the right people, leading process improvement, and leveraging technology, we achieve superior results. Work is performed primarily in an office or remote environment. May be subject to time constraints and tight deadlines. May require occasional travel. EEO Statement We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, veteran status, sexual orientation, gender identity, marital status, pregnancy, genetic information, or any other characteristic protected by law and will not be discriminated against on the basis of disability. It is our intention that all qualified applicants are given equal opportunity and that employment decisions be based on job-related factors.