Reporting Engineer

Olenick; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading analytics firm in Greater London seeks a skilled Reports Engineer to develop robust reporting solutions. With over 3 years in BI and data engineering, the candidate will design automated reports, build ETL pipelines, and ensure data accuracy. Proficiency in Python and BI tools like Looker and Data Studio is essential. This hybrid role requires 2 days at the office, from 4 PM to 1 AM, offering a dynamic work environment focused on data-driven decision-making.

Qualifications

• 3+ years of experience in BI reporting and data engineering.
• Proficiency in Python for data manipulation and automation.
• Hands-on experience with Looker, Google Data Studio, or similar BI tools.
• Strong understanding of SQL and relational databases.
• Experience with cloud-based DWH platforms like BigQuery, Snowflake, Redshift.
• Excellent problem-solving and communication skills.

Responsibilities

• Design and develop automated reports and dashboards using visual BI tools.
• Build and maintain ETL pipelines and data models in DWH environments.
• Integrate and consume RESTful APIs to enrich reporting datasets.

Skills

Business Intelligence (BI)

Data Warehousing (DWH)

Python

SQL

Looker

Google Data Studio

RESTful APIs

Problem-solving

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Looker

Google Data Studio

Git

Job description

Job Summary

We are seeking a skilled and detail-oriented Reports Engineer. The ideal candidate will have strong experience in Business Intelligence (BI), Data Warehousing (DWH), Python scripting, and building dashboards using tools like Looker or Google Data Studio. The engineer will be responsible for designing, developing, and maintaining scalable reporting solutions and integrating data from various APIs to support business decision‑making.

Key Responsibilities

• Design and develop automated reports and dashboards using Looker, Data Studio, or similar BI tools.
• Build and maintain ETL pipelines and data models in DWH environments.
• Write Python scripts for data extraction, transformation, and automation tasks.
• Integrate and consume RESTful APIs to enrich reporting datasets.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Ensure data accuracy, consistency, and performance across reporting platforms.
• Monitor and optimize report performance and data refresh cycles.
• Document data flows, report logic, and technical specifications.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 3+ years of experience in BI reporting and data engineering.
• Proficiency in Python for data manipulation and automation.
• Hands‑on experience with Looker, Google Data Studio, or similar BI tools.
• Strong understanding of SQL and relational databases.
• Experience with cloud‑based DWH platforms (e.g., BigQuery, Snowflake, Redshift).
• Familiarity with RESTful APIs and JSON/XML data formats.
• Excellent problem‑solving and communication skills.

Nice To Have

• Experience with version control tools like Git.
• Knowledge of data governance and security best practices.
• Exposure to Agile/Scrum methodologies.
• Certification in BI tools or cloud platforms is a plus.

Mandatory Requirements

Hybrid model at Bangalore QT office, 2 days work from QT office. Shift: 4 PM - 1 AM.