Position Summary The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities. Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development. Responsibilities - Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership - Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse - Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development - Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency - Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data - Support the enforcement of data contracts between source systems and the warehouse - Assist in reverse ETL workflows to operationalize warehouse data into downstream systems - Contribute to ML data preparation and feature pipeline workflows - Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams - Contribute to documentation, governance practices, and continuous improvement of data engineering standards Required Qualifications Education: - Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience) Experience: - 2–4 years of experience in data engineering or a related data-focused role - Experience working with ETL/ELT processes and structured warehouse data - Exposure to cloud-based data platforms (AWS preferred) Skills: - Strong SQL skills (joins, window functions, and query optimization fundamentals) - Proficiency in Python for data processing, scripting, or automation - Familiarity with version control systems (e.g., Git) - Strong attention to detail and commitment to data accuracy - Ability to troubleshoot and debug data workflows effectively - Strong written and verbal communication skills - Ability to collaborate across technical and non-technical teams Preferred Qualifications - Experience working with Snowflake or similar cloud data warehouses - Exposure to dbt or similar transformation frameworks - Introductory experience with dimensional modeling concepts - Experience implementing data quality tests or validation frameworks - Exposure to data contracts or schema management practices - Familiarity with reverse ETL concepts - Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar) - Familiarity with CI/CD practices for data workflows - Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows - Exposure to BI tools (e.g., Power BI, Tableau, Looker) Team Working Style - Collaborative and supportive, with strong mentorship from senior data engineering leadership - Focused on building durable foundations while moving quickly to meet evolving needs - Values curiosity, precision, and continuous skill development Physical Requirements and Work Environment - Ability to sit for extended periods while working at a computer - Office setting with remote/hybrid flexibility - Minimal travel required (occasional team meetings or company events) This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs. Our company is currently active in 16 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions. Equal Opportunity Statement Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Please Note Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time. Recruitment Agency Notice: We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

unybrands was established in 2020 by a group of partners united by a shared vision: to build the leading next-generation e-commerce platform for micro-brands. Headquartered in Miami, the company has a global presence with teams in Berlin, London, New York, and China. unybrands acquires e-commerce businesses that sell both on and off Amazon. Once acquired, these brands are integrated into unybrands' platform, where operations are optimized, business performance is enhanced, and expansion into new product lines and markets is driven. Currently we have acquired 30 brands including Pet Care, Personal Care, Home Care, Supplements, Baby & Juvenile, Garden & Outdoor, Sports & Fitness, and Home, Lifestyle Culinary & Arts. Through expert management and robust infrastructure, unybrands empowers e-commerce brands to scale and thrive. We’re looking for a Senior Data Engineer with deep expertise in GCP solution architecture to join our engineering team. You’ll play a key role in designing, building, and optimizing secure, scalable, and high-performance cloud solutions on Google Cloud Platform. By combining your technical skills with your understanding of e-commerce, CPG, or retail, you'll transform complex business needs into innovative, impactful solutions. If you're passionate about cloud architecture, thrive in fast-paced environments, and enjoy solving complex challenges, we’d love to hear from you. What You’ll Do - Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security. - Build Robust Data Pipelines: Develop and maintain reliable ETL/ELT pipelines using tools like Airflow, DBT, and languages like Python and We’rSQL. - Optimize BigQuery Warehousing: Design schemas, tune queries, and manage costs while working with large, complex datasets. - Ensure Data Quality & Governance: Implement standards for data accuracy, consistency, and lineage tracking. - Drive Performance & Efficiency: Monitor and optimize the performance and cost-effectiveness of cloud solutions. - Leverage Industry Knowledge: Apply your domain expertise to solve real-world retail, e-commerce, and supply chain challenges. - Maintain Security & Compliance: Build secure solutions aligned with privacy laws and industry best practices. - Lead & Mentor: Guide engineers, share best practices, and foster a culture of technical excellence. - Collaborate Across Teams: Work closely with stakeholders to define requirements and ensure solution success. - Document Clearly: Produce high-quality design docs, architecture diagrams, and best-practice guides. What You Bring - 8+ years in IT, with 3+ in cloud architecture or GCP solutions - Proven hands-on experience with Google Cloud Platform services - Strong knowledge of data architecture, ETL/ELT, and data warehousing (BigQuery) - Solid coding skills in SQL, Python (preferred), Java, or Scala - Familiarity with Airflow, DBT, and version control (e.g., Git) - Industry experience in e-commerce, retail, or CPG - Excellent communication and problem-solving skills You’ll Thrive Here If You Are: - A fast learner who keeps up with evolving tech - A proactive problem-solver who owns their work end-to-end - A collaborative team player who values knowledge sharing - Passionate about creating real business impact through data Join us and help shape the future of data-driven decision-making in a fast-paced, high-impact environment. Apply now if you're ready to build solutions that matter. Salary Range: USD 70-100k unybrands is an equal opportunity employer and considers all applicants for employment without any regard to race, skin color, religion, gender identity, sexual orientation, and age. Nor are applicants discriminated against based on disability or protected classes.

• odpowiedzialność za całość rozwiązań współtworzonych wraz z zespołem, • tworzenie lub modyfikowanie rozwiązań do przetwarzania danych w chmurze, • tworzenie i modyfikowanie dokumentacji, • analizowanie i optymalizowanie rozwiązań w zakresie działającego lub projektowanego systemu, • analizowanie wymagań klienta pod kątem dostarczenia optymalnego rozwiązania jego potrzeby biznesowej, • analizowanie potencjalnych zagrożeń, • dostosowywanie rozwiązań względem wymagań biznesowych.

Role Description We are on the hunt for a Senior Data Engineer with experience in Azure Data Engineering & ideally Fabric for a 3-month contract (extendable). You must be in NZ and have resided here for 5 years+ to be considered for the role (to enable government security clearance). - Manage, support, and deliver the engineering of state-of-the-art technical solutions on Azure Data Platforms. - Lead the hands-on end-to-end planning, provisioning, and implementation of Azure Data services. - Provide infrastructure and automation expertise to uplift, deliver and deploy Data Warehousing, Data Functions and end-to-end data analytics solutions. - Design solutions using Azure Data Factory, Azure Synapse, Azure Data Warehousing, Data Lakes, and App Insights. - Work with business stakeholders to help gather specifications and deliver effective solutions based on an understanding of data domains and technology. - Support data warehousing including manipulation, migration & integration. - Provision, modify, support, and manage complex Microsoft PaaS SQL Server databases as well as high availability environments that include SQL clusters, Always on and Availability Groups. - Migrate on-prem services into Azure cloud platforms. - Log using Log Analytics Workspace & configuration of diagnostic settings. - Support in-house and external engineers with data platform configuration used for data ingestion, manipulation, extraction, and cleansing. Qualifications - Significant design and delivery experience in Azure Data Engineering, ideally including Fabric. - Ability to understand business requirements and design effective solutions using deep Azure data engineering skills. - Expertise in the Azure Data Platform - Microsoft frameworks (Cloud-based analytics), Data Catalog, Data Lineage, ML. - Extensive experience in Azure Data, Azure Data Factory, Azure Data Warehousing, Azure Synapse, Azure Databricks, data modelling, Azure SQL, Big Data, Data Lakes and App Insights and Fabric. - Extensive experience in conventional Microsoft BI technologies such as SSIS, SSRS, SSAS. - Expertise in database concepts: SQL Server, Azure SQL DB/MI and Application Services configuration. - Azure DevOps & Automation, DevOps Integration, DataOps experience. - Knowledge of broader Azure Resources, CI/CD, Azure DevOps, IaC, ETL, CosmosDB, Event Hub, Scorecards, Reporting & Dashboards, Service Oriented Architectures (SOA) and programming. - T-SQL, Hadoop, Spark, Kafka, Python, Scala, Impala, R, Power BI - desirable. - New Zealand citizen or permanent resident with 5+ years in NZ, thereby eligible for government security clearance. - You should be available within 2 weeks for a 3-month contract on a daily rate. - Based anywhere in New Zealand. Benefits - Become part of Australasia's largest Azure engineering practice where you can sharpen your expertise and contribute to the latest innovations in tech and services. - Be part of a company that is leading the way in specialised areas and partners on high profile client projects. - Work with a 13-time Gold, 6-time Microsoft Advanced Specialisation & 5-time Microsoft Solutions Partner (including Modern Work). - Thrive in a team that is always learning, always innovating and making waves on a global scale. - Be part of a supportive working environment that values inclusion, flexibility, diversity and differences. - Work flexibly – we recognise the importance of your overall wellbeing! - Ultimately, we will help you to fear less, achieve more in a fast-paced, innovative and cool environment.