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- Tasks: Maintain and develop data pipelines for Finance and Sales, ensuring accurate insights.
- Company: Join a forward-thinking company focused on innovative data architecture and business intelligence.
- Benefits: Work with cutting-edge technologies and enjoy a collaborative team environment.
- Why this job: Make a real impact on data-driven decisions in a growing organisation.
- Qualifications: Strong SQL skills and experience with Power BI; familiarity with data warehousing is essential.
- Other info: Perfect opportunity for those passionate about data engineering and analytics.
The predicted salary is between 43200 - 72000 £ per year.
Over the past three years, our client has successfully transitioned to a new business intelligence and data architecture, centered on SQL Server, SSIS, and Power BI. Their in-house Data Warehouse now serves as the core of our OLAP database, managing ETL processes and delivering high-quality data insights to our internal teams.
We are seeking a Senior Data Engineer to focus primarily on their Financial and Sales data. This role will be instrumental in maintaining existing data pipelines and developing new ETL procedures, ensuring the business teams have access to accurate, insightful data for decision-making. The ideal candidate will become an expert in Finance, Sales, and Working Capital data, guiding analytics requirements and conducting in-depth investigative analysis on key business challenges.
Key Responsibilities- Collaborate with the Data Systems Director to implement Business Intelligence Strategy.
- Maintain and manage existing data pipelines within the Finance, Sales, and Working Capital domains.
- Develop new data pipelines to provide Power BI report writers with accurate, structured data for reporting and visualization.
- Conduct investigative data analysis projects to drive efficiencies in departmental workflows.
- Propose and implement data quality improvement initiatives at the source.
- Work closely with stakeholders to gather requirements for new dataset transformations.
- Apply analytical techniques to clean, transform, analyze, and interpret data.
- Partner with Business Analysts and Power BI designers to ensure solutions align with business requirements and are delivered efficiently.
- Ensure all database architecture and data pipeline developments are documented per company policies.
- Strong knowledge of Data Warehousing theories and methodologies.
- Expert proficiency in SQL and SQL Server Management Studio (SSMS).
- Experience with Power BI (or similar BI tools) and data modeling for reporting.
- Extensive experience in reporting on data from ERP & Manufacturing/Operations Systems.
- Deep understanding of Sales and Finance data management.
- Familiarity with transactional database systems.
- Excellent communication skills, both written and verbal.
- Ability to self-manage and work independently.
- Thrives in a fast-paced environment but can also plan and consider multiple options before execution.
Why Join our client? Work on cutting-edge data technologies and business intelligence solutions. Collaborate with a dynamic and innovative team. Opportunity to make a significant impact on data-driven decision-making in a growing organization. If you are passionate about data engineering and business intelligence and want to drive meaningful impact through data analytics, we would love to hear from you! You couldn’t be joining the team at a more exciting time!
Senior Data Engineer employer: Matchtech
Contact Detail:
Matchtech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL Server, SSIS, and Power BI. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Understand the business context of Finance and Sales data. Research common challenges faced in these areas and think about how your expertise can help solve them. This knowledge will be invaluable when discussing your potential contributions.
✨Tip Number 3
Prepare to discuss your previous experiences with ETL processes and data pipeline management. Be ready to share specific examples of how you've improved data quality or efficiency in past roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Network with current or former employees in similar roles, if possible. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews and demonstrate your genuine interest in the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL Server, SSIS, and Power BI. Include specific examples of how you've maintained data pipelines and developed ETL procedures in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and business intelligence. Mention how your skills align with the responsibilities outlined in the job description, particularly your expertise in Finance and Sales data.
Showcase Relevant Projects: If you have worked on projects involving data warehousing or BI solutions, be sure to include these in your application. Describe your role and the impact your work had on data-driven decision-making.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples of how you've effectively collaborated with stakeholders or presented data insights in previous positions. This will demonstrate your ability to work independently and as part of a team.
How to prepare for a job interview at Matchtech
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in SQL, SQL Server Management Studio, and Power BI. Bring examples of past projects where you developed ETL processes or managed data pipelines, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with the financial and sales data landscape. Research how data impacts decision-making in these areas and be ready to discuss how your skills can contribute to improving data quality and insights for the business.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of specific challenges you've faced in previous roles related to data management and how you overcame them. This will show your analytical thinking and ability to drive efficiencies.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice articulating your thoughts clearly. Be ready to explain complex data concepts in simple terms, especially when discussing how you would collaborate with stakeholders and business analysts.
