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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 3 4P/444 in Birmingham
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like 4P Consulting before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like 4P Consulting.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like 4P Consulting.
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at 4P Consulting, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to 4P Consulting, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab 4P Consulting’s attention and show the tangible impact of your work.
How to prepare for a job interview at 4P Consulting
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at 4P Consulting.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at 4P Consulting.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at 4P Consulting.
