At a Glance
- Tasks: Build and optimise scalable data pipelines for critical business analytics.
- Company: Join a leading energy company focused on innovative data solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Work in a collaborative team with excellent career advancement opportunities.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: 5-10 years of data engineering experience with strong SQL and cloud skills.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Data Engineer (Level 3) to build, optimize, and maintain scalable data pipelines and datasets that support business-critical analytics and applications. This role sits outside traditional IT and operates within the business technology/data domain—focused on ensuring clean, structured, and accessible data assets. The ideal candidate will have deep experience in data transformation, SQL optimization, Data Lakehouse architectures, and distributed processing systems. Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required.
Key Responsibilities
- Design, build, and maintain scalable and reliable data pipelines
- Combine raw data from multiple sources into clean, structured, machine-readable datasets
- Implement transformations using Spark, SQL, and ETL/ELT tools
- Normalize and model relational and distributed datasets to support analytics & applications
- Develop and optimize data architectures in Databricks Lakehouse & Azure
- Manage ingestion pipelines across structured and unstructured data sources
- Apply data governance, quality, and lineage methodologies in cloud environments
- Create logical and physical data models to support business intelligence, ML, and analytics workloads
- Ensure data consistency, accuracy, completeness, and reusability
- Establish data quality frameworks, validation checks, and monitoring automation
Experience
- 5–10 years in a Data Engineering role with hands-on development
- Strong background in data manipulation & software engineering-oriented data practices
- Experience supporting enterprise-scale platforms
Technical Skills
- Advanced SQL (query optimization, stored procedures, tuning)
- Databricks & Microsoft Azure Cloud (mandatory)
- Spark / Hive / Airflow
- Strong data modeling (star, snowflake, third-normal form)
- Experience building ETL/ELT pipelines in distributed environments
Data Engineer 3 4P/444 in Birmingham employer: 4P Consulting
As a Data Engineer at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Located in the vibrant cities of Birmingham, AL, and Atlanta, GA, we offer competitive benefits, opportunities for professional growth, and a commitment to employee development, ensuring you can make a meaningful impact while advancing your career in the data domain.
