Data Insights Engineer – SQL / BigQuery / GA4 – Global Analytics Consultancy – Remote – 40,000€ – 50,000€ + Bonus + Benefits

This is a chance to be part of a growing team delivering real value for our clients. They have gone through a 30% YOY growth for the last three years, a highly experienced team providing digital experience enablement services to their partners. They punch well above their weight working with highly reputable organisations, always strive to go beyond client expectations, and they are recognised as leaders in the industry. 

Their mission is to become recognised world leaders across their entire service portfolio, and they have a serious plan to get there, across Europe and North America. They are now seeking a Data Insights Engineer to join their team.

About the Role

Our client are seeking a highly skilled and detail-oriented Data Insights Engineer with strong expertise in Google Analytics 4 (GA4), BigQuery, and Data Warehouse / Lakehouse implementations to join their growing analytics team. This hybrid role combines advanced data engineering capabilities with deep analytics expertise to transform raw digital and customer data into actionable insights and robust data pipelines for their clients. The ideal candidate is fluent in BigQuery SQL, understands GA4’s event-based data model, and can architect end-to-end data flows from warehouses/lakehouses to customer activation platforms. You'll be pivotal in building the data infrastructure that powers personalised customer experiences while extracting strategic insights that drive data-informed business decisions.

Key Responsibilities

Data Analysis & Insights

• Analyze GA4 event-level data in BigQuery to uncover user behavior patterns and funnel performance
• Create data models and reusable queries to generate insights on key business metrics (e.g., conversions, retention, attribution).
• Deliver strategic insight reports and dashboards for cross-functional teams (marketing, product, growth).

Data Exploration & Visualization

• Build and maintain dashboards using Looker Studio, Tableau, or other BI tools, sourcing data from BigQuery.
• Communicate findings through compelling visualisations and narrative storytelling to stakeholders.

Data Engineering & Pipeline Development

• Design and implement robust ETL pipelines for customer data integration across multiple sources.
• Build and maintain data transformation workflows using dbt, Apache Airflow, or similar orchestration tools.
• Develop APIs and automated processes for data export from warehouses (BigQuery, Snowflake, Databricks) to CDPs.
• Establish data quality frameworks, monitoring, and validation processes for customer data pipelines.
• Implement real-time data streaming architectures using Apache Kafka, AWS Kinesis, or Google Pub/Sub.

Technical Excellence

• Write advanced, efficient SQL queries to analyze large datasets.
• Understand GA4 schema, event parameters, and user properties for accurate data interpretation.
• Manage data export configurations, data integrity checks, and data hygiene processes.
• Capability to import other data sets into BigQuery and other warehouse platforms to provide blended insights to meet client requirements
  

Collaboration & Strategy

• Work closely with the internal team in addition to directly with the client contacts across marketing, product, and engineering teams to define tracking strategies and KPIs.
• Contribute to experimentation and A/B test analysis using BigQuery datasets.
• Translate complex data into clear business recommendations.

Required Qualifications

• 2–5 years of experience in data engineering, data analysis, or a similar role.
• Expert proficiency in SQL with knowledge across multiple database systems (BigQuery, Snowflake, or Databricks preferred)
• Hands-on experience with GA4 and its BigQuery export schema.
• Strong analytical mindset with the ability to synthesize complex datasets.
• Experience with data visualisation tools (e.g., Looker Studio, Tableau, Power BI).
• Data transformation tool expertise, particularly dbt (models, macros, tests, deployment).
• Understanding of ETL processes and data pipeline architecture
• Understanding of digital marketing and user journey metrics (e.g., sessions, events, conversions).
• Comfortable working in a fast-paced, data-driven environment.

Preferred Qualifications

• Experience with Google Tag Manager (GTM), Firebase, or Google Cloud Platform (GCP).
• Customer Data Platform experience with a major platform (Adobe Experience Platform, Tealium, Treasure Data or Hightouch preferred).
• Familiarity with Python or R for advanced analytics.
• Experience with A/B testing tools (e.g., Optimizely, VWO).
• Knowledge of API development and integration for data movement and activation.
• Stream processing experience with Apache Kafka, AWS Kinesis, or Google Pub/Sub
• Understanding of data governance and privacy best practices (e.g. GDPR, anonymization techniques).

Benefits include:

• Competitive salary
• Bonus
• Pension
• Private Medical Cover
• €2k Annual Health and Wellbeing Budget (will be provided Pro Rata)
• Unlimited Training & Development Budgets
• 4.5 day Working Week
• Flexibility in Working Hours/Location
• Summer & Winter Parties
• Zero Politics or Bureaucracy

How do you apply? 

If you are interested in applying for the Data Insights Engineer  role, please do so via the link on this page or contact Digital Republic on the phone or by email.

Contact us to find out more:

Get in contact with Digital Republic Talent by sending an email to [email protected]. Check out the website on www.digitalrepublictalent.com. You can also find out more on LinkedIn, Instagram or Facebook