At a Glance
- Tasks: Design and maintain data pipelines, transform data, and create dashboards using Python and Power BI.
- Company: Join N Consulting Ltd, a dynamic company focused on innovative data solutions.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies like Azure and AWS in a supportive environment.
- Why this job: Be part of a collaborative team driving impactful business decisions through data insights.
- Qualifications: Bachelor’s or Master’s in a related field with 3+ years of data engineering experience required.
The predicted salary is between 43200 - 72000 € per year.
We are seeking a skilled Data Engineer with expertise in Python development and Power BI to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines, transforming raw data into clean datasets, and delivering compelling dashboards and insights to drive business decisions.
- Design, develop, and optimize ETL/ELT pipelines using Python and SQL.
- Develop and maintain Power BI dashboards and reports to visualize data and track KPIs.
- Work with stakeholders to gather business requirements and translate them into technical solutions.
- Perform data wrangling, cleaning, and transformation to prepare datasets for analysis.
- Integrate data from multiple sources (APIs, databases, cloud storage).
- Ensure data quality, integrity, and security across systems.
- Collaborate with data analysts, scientists, and engineering teams to support advanced analytics.
- Monitor and improve pipeline performance, scalability, and reliability.
Advanced SQL skills (joins, CTEs, indexing, optimization). Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL). Understanding of ETL/ELT principles, data architecture, and data warehouse concepts. Familiarity with APIs, RESTful services, and JSON/XML data handling. Experience with Azure Data Factory, Databricks, or AWS Glue. Familiarity with CI/CD, version control (Git), and DevOps practices. Knowledge of cloud platforms (Azure, AWS, or GCP). Basic understanding of data governance, security, and GDPR compliance.
Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. 3+ years of hands-on experience in data engineering roles. Strong analytical and problem-solving mindset. Excellent communication and collaboration skills. Ability to work independently and in cross-functional teams.
Data Engineer - (Python and Power BI) in Edinburgh employer: N Consulting Limited
N Consulting Ltd is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Engineers looking to thrive. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in a vibrant area, our team enjoys a dynamic atmosphere that encourages creativity and professional development, ensuring that every member can contribute meaningfully to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - (Python and Power BI) in Edinburgh
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, Power BI, and SQL. Having hands-on experience or projects showcasing your skills with these tools can significantly boost your chances.
✨Tip Number 2
Network with current or former employees of N Consulting Ltd on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and ETL/ELT processes in detail. Be ready to share specific examples of how you've optimised performance or ensured data quality in past projects.
✨Tip Number 4
Showcase your ability to collaborate with cross-functional teams by preparing examples of past teamwork experiences. Highlight how you gathered requirements from stakeholders and translated them into technical solutions.
We think you need these skills to ace Data Engineer - (Python and Power BI) in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Power BI, and data engineering. Use specific examples of projects where you've designed ETL/ELT pipelines or developed dashboards.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data engineering and how your skills align with the job requirements. Mention your experience with SQL and cloud platforms, and how you can contribute to the team at N Consulting Ltd.
Showcase Relevant Projects:If you have any personal or professional projects that demonstrate your expertise in data transformation, pipeline optimisation, or dashboard creation, include them in your application. This will give the hiring team concrete evidence of your capabilities.
Highlight Soft Skills:Don't forget to mention your communication and collaboration skills. Data engineers often work with cross-functional teams, so showcasing your ability to gather business requirements and translate them into technical solutions is crucial.
How to prepare for a job interview at N Consulting Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Power BI in detail. Bring examples of projects where you've designed and optimised ETL/ELT pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Business Context
Research N Consulting Ltd and understand their business model and data needs. Be ready to discuss how your skills can help them achieve their goals, particularly in terms of data visualisation and driving business decisions.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical and problem-solving abilities. Practice explaining your thought process when tackling data wrangling or transformation tasks, as this will demonstrate your approach to real-world challenges.
✨Emphasise Collaboration Skills
Highlight your ability to work with cross-functional teams. Share examples of how you've collaborated with data analysts, scientists, or other stakeholders to gather requirements and deliver effective data solutions.
