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- Tasks: Lead the development and optimisation of data systems using SQL and Google BigQuery.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights while collaborating with a dynamic team.
- Qualifications: Strong communication skills, experience with SQL and Python, and familiarity with PowerBI required.
- Other info: Ideal for tech-savvy individuals eager to enhance their data engineering skills.
The predicted salary is between 36000 - 60000 £ per year.
Our client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless data ingestion, transformation, and reporting, as well as working with key stakeholders to provide timely and actionable insights.
Main Responsibilities
- Engineering:
- Developing and maintaining business-critical data ingestion, analysis, and management systems.
- Utilizing API and ETL methods to integrate with internal systems.
- Building tools to minimize errors and improve customer experience.
- Automating data development and governance to improve data health.
- Designing procedures for system troubleshooting, capacity management, and scaling infrastructure.
- Developing scripts and data outputs to automate reporting and visualizations.
- Ensuring timely and easily translatable data delivery for business stakeholders.
- Supporting customer segmentation and data clustering for insights into customer cohorts.
- Owning and ensuring the security, governance, and usability of visualization tools like PowerBI.
Key skills for the Data Engineer include:
- Strong teamworking and communication abilities.
- Experience with scripting languages like SQL, Python, (SSIS/SSRS), and Powershell.
- Familiarity with Google BigQuery.
- Expertise in visualization tools such as PowerBI, Tableau, or Looker.
- Excellent problem-solving abilities and attention to detail.
- Ability to manage multiple projects with excellent organizational skills.
Data Engineer employer: SystemsAccountants
Contact Detail:
SystemsAccountants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Google BigQuery and its functionalities. Since this role heavily relies on this platform, understanding its features and how to optimise data management within it will give you a significant edge during discussions.
✨Tip Number 2
Brush up on your SQL skills, as they are crucial for this position. Consider working on personal projects or contributing to open-source projects that involve SQL database application development to showcase your expertise.
✨Tip Number 3
Gain hands-on experience with PowerBI or similar visualisation tools. Create sample dashboards or reports that demonstrate your ability to turn complex data into actionable insights, which can be a great talking point in interviews.
✨Tip Number 4
Network with professionals in the data engineering field. Attend meetups or webinars focused on data analytics and engineering to connect with potential colleagues and learn about industry trends that could be beneficial for your application.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, Google BigQuery, and any visualisation tools like PowerBI. Use specific examples to demonstrate your skills in data ingestion, transformation, and reporting.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with API and ETL methods, and your ability to work with stakeholders to deliver actionable insights.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, such as proficiency in scripting languages like Python and SQL, and familiarity with tools like PowerBI and Google BigQuery. This will help the hiring team quickly see your qualifications.
Highlight Problem-Solving Examples: Provide specific examples of how you've tackled challenges in previous roles, particularly those related to data management and analytics. This could include automating processes or improving data governance, which are key aspects of the job.
How to prepare for a job interview at SystemsAccountants
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Google BigQuery in detail. Bring examples of past projects where you successfully developed data ingestion systems or automated reporting processes.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare to share specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data management and analytics.
✨Highlight Teamwork and Communication
Since this role involves working with key stakeholders, emphasise your teamwork and communication skills. Share examples of how you've collaborated with others to deliver actionable insights or improve data systems.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions that may require you to think on your feet. Practice articulating your thought process when designing data solutions or troubleshooting issues, as this will demonstrate your analytical mindset.
