Data & Analytics Engineer

Role Overview

The Data & Analytics Engineer is Collectiv ’s most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards.

You design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas.

This role sits at the intersection of Collectiv ’s Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane.

Key Responsibilities

Data Platform & Lakehouse Engineering

- Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses)

- Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices

- Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products

- Translate business and analytical requirements into technical data models (star schemas, semantic models, lakehouse patterns)

- Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads

- Apply version control, CI/CD concepts, and code review standards to all data engineering workflows

Power BI & Analytics Delivery

- Design and implement complex data models utilizing Power BI, including enterprise-grade semantic layer development

- Create visually compelling, interactive reports and dashboards that drive measurable client decisions

- Develop, optimize, and peer-review DAX formulas for accuracy and performance at scale

- Integrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation

- Ensure data quality, reliability, and usability across the analytics platform

- Enable self-service analytics by partnering with client business teams to deliver trusted datasets and dashboards

Client Consulting & Advisory

- Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations

- Provide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions

- Conduct in-depth research on emerging tools and trends to keep clients ahead of the curve

- Act as a core technical asset in Collectiv ’s marketing and business development efforts

- Facilitate training sessions and support client teams through platform adoption and change

- Build strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence

- Take a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value

Engineering Excellence & Collaboration

- Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals

- Ensure solutions meet quality criteria related to performance, scalability, security, and maintainability

- Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv

- Participate in post-project retrospectives and contribute to Collectiv ’s data platform standards

Required Qualifications

- Bachelor’s degree from an accredited university

- 5+ years of combined experience in data engineering, analytics en