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- Tasks: Support data engineering tasks and manage data pipelines for a leading transport manufacturer.
- Company: Join a top transportation manufacturer known for innovation in safety solutions for mobility devices.
- Benefits: Enjoy a competitive salary, excellent benefits, and the flexibility of hybrid or remote work.
- Why this job: Be part of a dynamic team driving operational improvements and developing cutting-edge data solutions.
- Qualifications: Basic SQL knowledge and understanding of data engineering concepts are essential; experience with Snowflake is a plus.
- Other info: Opportunity to collaborate with cross-functional teams and contribute to impactful data initiatives.
The predicted salary is between 30000 - 35000 £ per year.
An exciting opportunity has arisen for a SQL Database Administrator to join one of the world’s leading transportation manufacturers who specialise in providing safety and securement solutions for mobility devices. They are known best for their commitment to innovation, by continuously developing new technologies to improve safety and the ease of use.
As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise.
Role & Responsibilities:
- Provide first-line support for data engineering tasks, such as managing and monitoring data pipelines, resolving issues, and ensuring data integrity.
- Work with both structured and unstructured datasets to design and implement data models, perform data cleansing, transformation, and validation.
- Maintain accurate documentation of data workflows, pipelines, and issue resolutions.
- Manage system administration tasks, including user access to data resources and troubleshooting data-related errors.
- Collaborate with business stakeholders to identify data requirements and deliver sustainable solutions.
- Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy.
- Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability.
Project & Improvement:
- Assist in gathering, documenting, and managing data engineering requirements and workflows.
- Contribute to the development of guidelines and documentation for data engineering best practices.
- Assist in designing, testing, and implementing data pipelines and workflows using established software development lifecycle techniques.
- Help define and optimize scalable data processes that drive operational improvements.
- Collaborate with cross-functional teams to ensure data-related initiatives are properly planned, scheduled, and managed.
- Participate in risk management and change management processes related to data infrastructure.
- Participate in quality reviews of designs, prototypes, and other work products to ensure requirements are met.
Skills & Experience:
Essential:
- Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management.
- Hands-on experience with SQL (e.g., writing queries, basic database management).
- Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools).
- Attention to detail across large data sets and multiple business unit data fields.
Preferred:
- Experience with Snowflake.
- Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud).
- Basic knowledge of version control tools like Git.
- Aware of data warehousing concepts and architectures.
Package: £30-35k Excellent company benefits Option for this role to be hybrid or remote.
SQL Database Administrator employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL Database Administrator
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL, Python, and visualisation tools like Power BI or Tableau. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Network with professionals in the transport manufacturing sector or those who work as SQL Database Administrators. Engaging with them on platforms like LinkedIn can provide you with insights into the industry and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data engineering and database management. This could involve following relevant blogs, attending webinars, or joining online communities. Showing that you're proactive about learning can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving skills during the interview. Think of examples where you've successfully managed data-related issues or improved processes, as this aligns well with the responsibilities outlined in the job description.
We think you need these skills to ace SQL Database Administrator
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to SQL database management, data engineering concepts, and any tools mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's commitment to innovation. Mention specific projects or experiences that demonstrate your ability to manage data pipelines and support data integrity.
Showcase Relevant Skills: In your application, emphasise your hands-on experience with SQL and any familiarity with data tools like Python or Power BI. If you have experience with Snowflake or cloud platforms, make sure to include that as well.
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 for a role involving large data sets.
How to prepare for a job interview at Intec Select
✨Showcase Your SQL Skills
Make sure to prepare for questions that test your SQL knowledge. Brush up on writing queries and basic database management, as these are essential skills for the role. Be ready to discuss any hands-on experience you have with SQL in previous projects.
✨Understand Data Engineering Concepts
Familiarise yourself with key data engineering concepts such as ETL processes and data pipelines. Being able to explain these concepts clearly will demonstrate your foundational knowledge and show that you're prepared for the responsibilities of the role.
✨Highlight Attention to Detail
Since the role involves working with large datasets, emphasise your attention to detail. Prepare examples from past experiences where your meticulousness helped prevent errors or improved data quality, as this will resonate well with the interviewers.
✨Research the Company’s Innovations
Take some time to learn about the company’s commitment to innovation and their industry-first products. Being able to discuss how your skills can contribute to their ongoing research and development efforts will show your genuine interest in the position and the company.
