• 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.

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.

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.

PriceShape already has data engineers that are building and maintaining the infrastructure behind our customer-facing platform. This role is something else. We are looking for our first Senior Data Engineer dedicated to internal and operational data: the systems, pipelines, and models that tell us how our business is performing. Right now, our operational data lives across disconnected systems, product usage in our production database, customer relationships in HubSpot, customer success activity in Custify, and billing in Younium. You will own connecting these into a reliable, well-structured foundation that the business can trust and act on. We are building from scratch. The first priority is getting clean, reliable usage data from our production platform flowing into a proper data warehouse. From there, you will progressively build a 360° customer view by integrating our CRM, CS, and billing data, laying the groundwork for deeper insights into retention, expansion, and value delivery. As we scale this function, there is a natural path toward shaping what the internal data team looks like, but right now, the job is to build the foundation right. This role can either be fully remote (provided you are located within ±1–2 hours of the CET time zone) or based at our office in Aarhus, Denmark. What You’ll Be Doing Build and own the data pipeline infrastructure - Design and implement our internal data warehouse from the ground up, architecture, ingestion, and transformation layers - Set up and maintain reliable integrations from our production database (usage data), HubSpot, Custify, and Younium - Define data models that are clean, consistent, and built to scale as we add sources and consumers - Establish standards for data correctness, freshness, and reliability across all internal data flows Ensure data quality, observability, and trust - Own pipeline observability end-to-end, you define what “healthy” looks like and you are the first to know when it isn’t - Implement data testing and validation at the model level, nulls, duplicates, referential integrity, freshness SLAs - Define and enforce data contracts between source systems and the warehouse so downstream consumers can rely on what they pull - Maintain clear documentation of models, lineage, and definitions, so the next hire, and every stakeholder, knows exactly what they are looking at Set the standard - Make architecture decisions that will shape how we handle internal data for years, not just what works today - Document clearly so you can onboard the next hire into the team fast - Challenge assumptions: if a metric looks clean but doesn’t reflect reality, you say so As the foundation matures, there will be room to move into more analytical and insight-oriented work, but the immediate priority is getting the architecture and pipelines solid. What We’re Looking For Must-haves - 3–5+ years of hands-on experience building data warehouses or internal analytics infrastructure, not just maintaining existing pipelines - Strong SQL and data modeling skills; you design schemas you’re proud of - Proven experience architecting integrations across multiple data sources - Hands-on experience with transformation frameworks (dbt or equivalent) - Experience with modern data stack tooling, we use BigQuery as our preferred warehouse, but open to discussing the right solution - Comfortable working independently in a greenfield environment with limited existing structure - Background in B2B SaaS, you understand what usage data and customer health actually mean - Fluency in English Strong plus - Experience with pipeline orchestration tools (Airflow, Prefect, or similar) - Commercial instinct, understanding how the data you build connects to retention, expansion, and business decisions - Experience integrating CRM, CS, or billing platforms (HubSpot, Custify, Younium, Stripe, or similar) What We Offer - Greenfield ownership; you design the architecture, set the standards, and build it - Direct access to leadership, RevOps, CS, and Product; your work will be visible and used - A company that already understands data matters, with product engineers on staff you can collaborate with - High autonomy and trust in how you solve problems - Flexibility: on-site in Aarhus or fully remote within ±1–2 hours CET - A fast-growing international environment; 100+ colleagues, 25+ nationalities, customers in 25+ countries About PriceShape PriceShape is an international SaaS company headquartered in Aarhus, Denmark. We’ve developed a price monitoring and comparison platform that helps retailers and brands increase both revenue and profitability through dynamic pricing and competitor tracking. We’re more than 100 colleagues from 25+ nationalities, working from a modern office in Aarhus C – and we’re growing fast in both headcount and market share. Today, we serve customers in 25+ countries and have big ambitions to become the global category leader. We prioritize work-life balance, trust, and personal as well as professional growth. How to apply If this sounds like the right role for you, please send us your CV and application as soon as possible. We review applications on an ongoing basis. For any questions about the role, reach out to Talent Acquisition Consultant Mathias Høgh Sønnichsen at mhs@priceshape.dk.