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- Tasks: Join our team to develop and maintain data pipelines while learning from experienced professionals.
- Company: Be part of a dynamic Service Operations team focused on innovative data solutions.
- Benefits: Enjoy a supportive environment with opportunities for growth and learning in data engineering.
- Why this job: Kickstart your career in a role that combines technology, teamwork, and real-world impact.
- Qualifications: A degree in computer science or related field; experience with SQL and programming languages preferred.
- Other info: Ideal for recent graduates or those with internships in data engineering.
The predicted salary is between 28800 - 43200 £ per year.
Are you passionate about data and eager to kickstart your career in data engineering? We’re looking for a motivated Junior Data Engineer to join our Service Operations team. This role offers an exciting opportunity to learn, contribute to, and grow within the critical areas of data pipeline development, maintenance, and optimisation for our client-facing products and services. Working closely with experienced developers, data analysts, data scientists, and other stakeholders, you will be instrumental in ensuring the efficient and reliable flow of data, building foundational skills in a supportive environment.
Key Responsibilities
- Data Pipeline Development: Contribute to the design, building, and maintenance of scalable data pipelines; Implement ETL (Extract, Transform, Load) processes to ingest data from various sources; Ensure data quality, integrity, and reliability through thorough testing and validation.
- Database Management: Help manage and optimise data storage solutions (e.g., SQL and NoSQL databases, data lakes); Monitor and assist in maintaining database performance and security.
- Data Integration: Collaborate with data analysts and scientists to integrate and consolidate data from multiple sources; Assist in developing APIs and other interfaces for data access and manipulation.
- Documentation and Reporting: Document data processes, pipelines, and architectures; Generate reports and visualisations to communicate data insights and pipeline performance.
- Technical Support: Provide technical support for data-related issues and troubleshoot problems as they arise; Assist in the implementation of data governance and compliance policies.
- Continuous Improvement: Actively learn about and stay up to date with emerging trends and technologies in data engineering; Participate in code reviews and contribute to the continuous improvement of data engineering practices within the team.
Qualifications, Skills and Experience
- Educational Background: Bachelor’s degree in computer science, Engineering, Information Technology, or a related field; Relevant certifications in data engineering or cloud platforms (e.g., AWS, Azure, Google Cloud, Databricks) are a strong plus.
- Technical Skills: Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL); Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow); Experience with programming languages such as Python, Java, or Scala. Python is highly preferred; Basic understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud); Knowledge of big data technologies (e.g., Spark) is a plus.
- Analytical Skills: Strong problem-solving skills and attention to detail; Ability to analyse data sets and identify patterns or anomalies.
- Soft Skills: Excellent communication and teamwork skills, with a collaborative mindset; Eagerness to learn, adapt to new technologies, and grow within the data engineering field; Ability to manage multiple tasks effectively and meet deadlines.
- Experience: 0-2 years of experience in data engineering, data analysis, or a related technical field; Internship, co-op, significant project experience in data engineering or building data pipelines is highly desirable.
Junior Data Engineer employer: Sagacity
Contact Detail:
Sagacity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and Apache Airflow. 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 work at StudySmarter or similar companies. Attend industry meetups, webinars, or online forums to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Stay updated on the latest trends and technologies in data engineering. Follow relevant blogs, podcasts, or online courses to enhance your knowledge and demonstrate your commitment to continuous learning during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and data-related problems. Websites like LeetCode or HackerRank can help you sharpen your skills and boost your confidence before the interview process.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Engineer role. Emphasise your proficiency in SQL, any programming languages you know, and any experience with data pipeline tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering. Mention specific projects or experiences that demonstrate your problem-solving skills and eagerness to learn. Connect your background to the responsibilities outlined in the job description.
Highlight Relevant Projects: If you've worked on any projects related to data engineering, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will show your practical experience and commitment to the field.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Sagacity
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and any experience you have with relational databases. If you've worked with data pipeline tools like Apache Airflow or programming languages such as Python, make sure to highlight these skills during the interview.
✨Demonstrate Your Problem-Solving Abilities
Expect to face questions that assess your analytical skills. Prepare examples of how you've tackled data-related challenges in the past, focusing on your thought process and the solutions you implemented.
✨Emphasise Your Eagerness to Learn
As a Junior Data Engineer, showing a willingness to learn and adapt is crucial. Discuss any recent trends or technologies in data engineering that interest you, and express your enthusiasm for continuous improvement and professional growth.
✨Prepare for Teamwork Questions
Since collaboration is key in this role, be ready to share experiences where you've worked effectively in a team. Highlight your communication skills and how you contribute to a positive team dynamic.
