Data Engineer – PowerBI

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🕒 January 19

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Particle41

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Particle41 is a company that specializes in providing expertise and solutions in technology development, data science, and DevOps. They offer CTO advisory services, acting as a partner to strengthen tech strategies and deliver robust software solutions tailored to their clients' needs. Particle41 emphasizes modernizing operations using cloud architecture, integrating software systems, and leveraging artificial intelligence to provide innovative digital products. They work closely with businesses to ensure on-time project delivery, scalability, and maintaining data security. Particle41 is particularly focused on helping businesses improve their competitive edge through strategic tech solutions and ongoing support.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources. • Build and optimize data lakes / data warehouses / lakehouse structures for efficient reporting and analytics. • Integrate structured and unstructured data from internal and external systems to create a unified and analysis-ready layer. • Ensure data accuracy, consistency, and completeness through validation, cleansing, transformation, and reconciliation checks. • Maintain strong documentation for data pipelines, datasets, Power BI models, and reporting logic. • Develop and maintain Power BI dashboards and reports for business and leadership stakeholders. • Build optimized semantic models in Power BI (star/snowflake schema) for performance and scalability. • Write and optimize DAX measures, calculated columns, and KPIs aligned to business metrics. • Use Power Query (M) for transformations and ensure reporting datasets are refresh-ready and reliable. • Manage Power BI deployments via Power BI Service, including scheduled refresh, workspace access, and report sharing. • Improve dashboard performance by optimizing data model design, relationships, and aggregations. • Collaborate with product managers and business stakeholders to gather reporting requirements and translate them into technical deliverables. • Work in Agile development cycles including sprint planning, daily stand-ups, and sprint reviews. • Perform thorough testing of pipelines and reports to ensure reliability, performance, and data correctness.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field. • Proven experience as a Data Engineer / BI Engineer, with 3+ years of experience. • Strong proficiency in Power BI, including: • Data modeling (semantic layer) • DAX • Power Query (M) • Dashboard/report optimization • Strong hands-on experience with SQL (MySQL / PostgreSQL preferred) and query optimization. • Proficiency in Python for data transformation, automation, and integrations. • Experience with data warehousing / lakehouse principles and performance tuning concepts. • Exposure to tools/technologies such as: • Databricks, Spark, PySpark • Pandas • APIs / data integrations (Flask or similar frameworks) • Utilities & tools: logging, requests, subprocess, regex, pytest • Familiarity with Git and modern collaborative development workflows. • Comfortable working in Linux and writing basic shell scripts. • Strong problem-solving skills and attention to detail. • Excellent communication skills and ability to work with cross-functional stakeholders. • Adaptability and willingness to learn new tools/technologies as needed.