At a Glance
- Tasks: Join our team to clean and transform complex datasets for environmental projects.
- Company: We are a leading organisation in defence, space, and technology sectors.
- Benefits: Enjoy full-time work with opportunities for remote flexibility and professional growth.
- Other info: Must hold or be eligible for SC clearance; ideal for those passionate about data and the environment.
- Why this job: Make a real impact on data quality while collaborating with experts in a dynamic environment.
- Qualifications: Proficiency in Python and SQL, with a knack for handling messy datasets is essential.
The predicted salary is between 36000 - 60000 € per year.
Overview
We are seeking a motivated and detail-oriented Data Engineer to join our team. You will work closely with the Senior Data Engineer to clean, structure, and transform complex datasets that support environmental observation data, reference datasets, and metadata catalogs. Your efforts will be critical in enabling semantic processing and improving data quality across our projects.
What You’ll Do
- Clean and process tabular data from various sources including Excel, CSV files, and databases
- Build robust data transformation pipelines primarily using Python and pandas
- Write efficient SQL queries to extract, manipulate, and integrate relational data
- Implement data validation and quality assurance processes to ensure dataset accuracy and integrity
- Work with various data formats such as JSON, XML, and CSV
- Support metadata cataloging and reference data management initiatives
- Learn and apply RDF (Resource Description Framework) and semantic web concepts to support linked data initiatives
- Collaborate with subject matter experts to understand and refine data requirements
- Document pipelines, transformation scripts, and data quality reports
What You’ll Deliver
- Clean, validated datasets ready for semantic processing
- Reusable Python scripts for data transformation and validation
- SQL queries and database integration solutions
- Detailed data quality reports and technical documentation
- Contributions to metadata catalogs and RDF processing workflows
- Comprehensive documentation of pipelines and ad hoc data analyses
Skills & Experience
- Strong proficiency in Python, especially with pandas for data manipulation
- Solid knowledge of SQL and relational database concepts
- Experience handling messy, real-world datasets
- Understanding of data validation, cleaning, and quality assurance principles
- Familiarity with JSON, XML, and CSV data formats
- Experience working with APIs to access and retrieve data
- Strong analytical mindset and problem-solving abilities
- Excellent written and verbal communication skills in English
- Ability to work independently and proactively learn new technologies
- Must hold an active SC (Security Check) clearance or be a British national eligible to obtain SC clearance
- Background in library science, data management, or information architecture
- Experience with ETL (Extract, Transform, Load) processes and pipeline development
- Familiarity with environmental data domains or scientific datasets
- Knowledge of RDF, SPARQL, and semantic web technologies
- Understanding of metadata standards and data harmonization principles
- Experience using Docker, Git, and modern software development workflows
Seniority level
- Mid-Senior level
Employment type
- Full-time
Industries
- Defense and Space
- Manufacturing
- Space Research and Technology
Location: Luton, England, United Kingdom
#J-18808-LjbffrData Engineer in Luton employer: Experis UK
Join our dynamic team in Luton as a Data Engineer, where you will play a pivotal role in transforming environmental datasets and enhancing data quality. We pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering unique opportunities to engage with cutting-edge technologies in the defence and space sectors. With a focus on meaningful projects and a commitment to employee development, we provide an excellent environment for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Luton
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, pandas, and SQL. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in environmental data. Engaging in relevant online communities or attending industry meetups can provide valuable insights and connections that may help you during the application process.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share examples of how you've tackled messy datasets or implemented data validation processes in previous roles, as this will demonstrate your analytical mindset and practical experience.
✨Tip Number 4
Stay updated on the latest trends and technologies in data engineering, particularly those related to semantic web concepts and RDF. Showing your enthusiasm for continuous learning and your ability to adapt to new technologies can impress potential employers.
We think you need these skills to ace Data Engineer in Luton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and data manipulation. Include specific examples of projects where you've cleaned and transformed datasets, as well as any relevant tools or technologies you've used.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the Data Engineer role and how your skills align with the job description. Mention your familiarity with environmental data and your ability to work with various data formats like JSON and XML.
Showcase Relevant Projects:If you have worked on any projects involving ETL processes, data validation, or semantic web concepts, be sure to include these in your application. Highlight your problem-solving abilities and analytical mindset.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your communication is clear and professional, reflecting your excellent written skills.
How to prepare for a job interview at Experis UK
✨Showcase Your Python Skills
Since the role heavily relies on Python and pandas for data manipulation, be prepared to discuss your experience with these tools. Bring examples of projects where you've built data transformation pipelines or cleaned messy datasets using Python.
✨Demonstrate SQL Proficiency
SQL is crucial for this position, so brush up on your SQL skills before the interview. Be ready to explain how you've used SQL to extract and manipulate data in past roles, and consider preparing a few sample queries to showcase your abilities.
✨Understand Data Quality Principles
The job requires implementing data validation and quality assurance processes. Familiarise yourself with common data quality issues and be prepared to discuss how you've addressed these in previous projects. Highlight any specific methodologies you’ve used.
✨Familiarity with Environmental Data
Given the focus on environmental observation data, it would be beneficial to demonstrate your understanding of this domain. Research relevant datasets or projects and be ready to discuss how your background aligns with the company's mission in this area.
