Data Engineer

JR United Kingdom; Birkenhead; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the industry is looking for an experienced data engineer to join their growing Business Intelligence team. This role involves managing BI reporting projects, enhancing data quality, and utilizing tools like Google Cloud Platform and SQL for impactful business insights.

Qualifications

• Proven data engineering experience with an enterprise data warehouse platform.
• Strong SQL skills required.
• Experience with visualization tools such as Data Studio, Tableau, or Power BI.

Responsibilities

• Managing and delivering end-to-end BI reporting projects.
• Maintaining and enhancing the data quality and performance of the Data Lake/Warehouse.
• Assisting Data Analysts in generating impactful business insights.

Skills

Data engineering

SQL

Data visualization

Interpersonal skills

Analytical mindset

Education

Bachelor’s degree in computer science or related field

Tools

Google Cloud Platform

Data Studio

Tableau

Power BI

Job description

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This is an incredible opportunity to join a growing and highly talented Business Intelligence team. You will be responsible for delivering and maintaining business-critical reporting systems across the Protein Works, including marketing, trading, operations, and finance. You should have a strong understanding of data engineering concepts and how to apply them using the Google Cloud Platform. A passion for data and its ability to improve business performance is essential.

Immediate Responsibilities

• Managing and delivering end-to-end BI reporting projects, from initial brief/requirement gathering to data pipeline development (APIs/ETL/ELT/SQL) to visualization.
• Undertaking ad hoc BI tasks based on business requirements and priorities.
• Maintaining and enhancing the data quality, security, and performance of the Data Lake/Warehouse as part of the BI team.
• Assisting Data Analysts in generating impactful business insights and analysis.
• Supporting the Senior Data Engineer in managing the BI ticket system to ensure timely resolution of tasks.

You’ll Naturally Like This…

• Having a "can-do" attitude.
• Being enthusiastic with a drive to improve and develop new ways of working.
• Ability to communicate complex topics clearly to various audiences.
• Self-motivated learner who shares knowledge across the business.
• Highly motivated self-starter.
• Valuing business impact.
• Being positively impatient.
• Building positive, productive collaborations and teams.
• Having excellent interpersonal skills.

Non-Negotiables

• Proven data engineering experience with an enterprise data warehouse platform.
• Strong SQL skills.
• Experience with visualization tools such as Data Studio, Tableau, Power BI.
• Ability to gather requirements and turn them into deliverables.
• Numerate, logical, and analytical mindset.
• Organized with excellent communication skills.
• Ability to multi-task and meet deadlines.
• Excellent relationship-building and influencing skills.
• Bachelor’s degree in computer science or related field.
• Experience with Google Cloud Platform/Data Stack, including BigQuery, Cloud Functions, Pub/Sub, IAM Management, Looker Data Studio.
• Familiarity with statistical/machine learning/AI concepts.
• Understanding of data pipeline/orchestration tools like dbt, dataform.
• Appreciation of GCP’s serverless technologies such as Cloud Run/Workflows.
• Understanding of Google’s marketing stack, including Analytics, Tag Manager, Ads, Search Console.
• Experience with low-code/no-code data platforms like Retool, Hex.

Core Behaviours

• Pace: Recognize speed as a key to growth; move quickly.
• Communication: Value team communication; collaborate face-to-face.
• Trust: Follow through on commitments and support colleagues.
• Transparency: Maintain openness and remove barriers.
• Challenge: Embrace discomfort and growth opportunities.
• Learn: Foster a culture of experimentation and continuous improvement.