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- Tasks: Design and maintain data pipelines, ensuring data is accessible and secure.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy hybrid working, growth opportunities, and a collaborative culture.
- Why this job: Make a lasting impact by building a transformative data function from scratch.
- Qualifications: Experience as a Data Engineer with skills in Python, SQL, and cloud platforms.
- Other info: Be part of a supportive team under an experienced data leader.
The predicted salary is between 43200 - 72000 £ per year.
We are looking to strengthen our Information Technology/Data team with a Senior Data Engineer or Data Engineer with hybrid working available.You will be instrumental in designing, building, and maintaining the data pipelines and systems that power our analytics and decision-making. Working under the guidance of the Head of Data, you will ensure that data is accessible, reliable, and secure, enabling the organization to harness its full potential. This is an opportunity to work in a \”greenfield\” environment and contribute to the creation of a cutting-edge data ecosystem from the ground up.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and optimize ETL/ELT pipelines to collect, transform, and load data from various sources into our data infrastructure.
- Data Modelling: Implement robust data models and schemas to support analytics, reporting, and other business needs.
- Infrastructure Management: Assist in building and maintaining scalable, secure, and efficient data platform architectures (e.g., data warehouses, data lakes).
- Data Quality Assurance: Implement processes and tools to monitor and ensure data quality, integrity, and consistency across systems.
- Collaboration: Work closely with the Head of Data, software engineers, and business stakeholders to understand data requirements and deliver effective solutions.
- Automation: Automate repetitive tasks and workflows to streamline data operations.
- Technology Integration: Evaluate and integrate new tools and technologies into the data stack to improve performance and scalability.
Why Join Us?
- Impact: Contribute to the creation of a transformative data function from the ground up.
- Innovation: Work in a forward-thinking company that values creativity and cutting-edge solutions.
- Growth Opportunities: Develop your skills and career as the data function scales.
- Collaboration: Be part of a supportive and driven team under the guidance of an experienced data leader.
- Culture: Be part of a company that fosters a collaborative and inclusive environment.
How to Apply: If you’re excited by the challenge of creating a data function from the ground up and making a lasting impact, we want to hear from you!
Experience: Proven experience as a Data Engineer or in a similar role, with a strong understanding of data systems and architectures.Technical Skills:Proficiency in programming languages such as Python, SQL, or Scala.Experience with cloud platforms and data storage solutions, particularly Azure.Familiarity with data pipeline frameworks (e.g., Apache Airflow, dbt, Azure Data Factory) and distributed data systems (e.g., Spark, Hadoop, Azure Synapse).Hands-on experience with BI tools (e.g., Tableau, Power BI) is a plus.Problem Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues.Attention to Detail: Meticulous in ensuring data accuracy, quality, and security.Team Player: Collaborative mindset, with the ability to work effectively in cross-functional teams and offshore teammates.Communication: Strong communication skills to convey technical concepts to non-technical stakeholders.Education: Degree in a data-related subject (such as Computer Science, Data Science, Mathematics, Engineering) is preferable. #J-18808-Ljbffr
Senior/Data Engineer employer: MWH Treatment
Contact Detail:
MWH Treatment 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 Azure, Apache Airflow, and Spark. 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 current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the data team, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences in building data pipelines and ensuring data quality. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Showcase your collaborative mindset by preparing examples of how you've worked effectively in cross-functional teams. Highlighting your communication skills will also be crucial, especially when conveying technical concepts to non-technical stakeholders.
We think you need these skills to ace Senior/Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer. Focus on your skills in data pipeline development, data modelling, and any specific technologies mentioned in the job description, such as Python, SQL, or Azure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your previous experiences align with the responsibilities outlined, particularly in building scalable data architectures and ensuring data quality.
Showcase Technical Skills: In your application, clearly list your technical skills and experiences with relevant tools and frameworks like Apache Airflow, Azure Data Factory, and BI tools. Provide examples of projects where you successfully implemented these technologies.
Highlight Collaboration Experience: Emphasise your ability to work in cross-functional teams. Share specific instances where you collaborated with software engineers or business stakeholders to deliver effective data solutions, as this is crucial for the role.
How to prepare for a job interview at MWH Treatment
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python, SQL, or Scala. Highlight any relevant experience with cloud platforms, particularly Azure, and be ready to explain how you've used data pipeline frameworks in past projects.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and ability to troubleshoot complex technical issues. Prepare examples from your previous work where you successfully solved data-related challenges.
✨Emphasise Collaboration and Communication
Since the role involves working closely with various stakeholders, be ready to discuss how you've collaborated in cross-functional teams. Share experiences where you effectively communicated technical concepts to non-technical audiences.
✨Prepare for Data Quality Discussions
Given the importance of data quality in this role, be prepared to talk about processes you've implemented to ensure data integrity and consistency. Discuss any tools or methodologies you've used to monitor and improve data quality.
