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- Tasks: Lead data teams to modernize and optimize data infrastructure using advanced technologies.
- Company: Join a dynamic team focused on innovative data solutions and ambitious growth.
- Benefits: Enjoy a collaborative environment with opportunities for mentorship and skill development.
- Why this job: Perfect for independent thinkers who thrive in autonomous settings and love tackling complex data challenges.
- Qualifications: Extensive experience in data engineering, cloud architecture, and strong leadership skills required.
- Other info: Contact Mae Fitzgerald for more details about this exciting opportunity.
We are looking for a skilled Senior Data Engineer to drive the modernization of our clients data infrastructure. This role will involve leveraging advanced data technologies, including GCP, BigQuery, DBT, and Dagster, to build scalable pipelines, streamline processes, and deliver impactful solutions. You will collaborate across teams to shape a forward-thinking data strategy within a dynamic and evolving environment. As a key member of our clients small but highly focused team, you will take a leading role in designing and implementing a robust, future-ready data platform. With a strong emphasis on outcomes and ambitious growth plans, this position is ideal for an independent thinker who thrives in an autonomous setting and enjoys crafting and executing data strategies. Key Responsibilities: Lead and guide data teams in executing complex initiatives. Develop and implement database and data warehouse solutions. Enhance and maintain data infrastructure for optimal performance and reliability. Uphold data accuracy, consistency, and security while ensuring compliance with industry regulations. Establish and manage data governance frameworks and best practices. Partner with IT Operations and security teams to enforce robust data security measures. Create detailed documentation of data processes, structures, and system architecture. Facilitate seamless data access for reporting and analytical requirements. Oversee and refine ETL workflows for efficiency and accuracy. Monitor database performance and provide necessary support for data-related incidents. Work closely with cross-functional teams to ensure efficient data operations. Transform and prepare data for analysis, adapting to evolving organizational needs. Mentor and support junior data engineers in skill development. Assist in defining and executing the organization’s data strategy. Collaborate with business analysts to identify and implement new data requirements. Manage internal and external data sources based on business objectives. Skills and Experience Required: Extensive background in data engineering, preferably in a regulated industry. Expertise in cloud-based data architecture and governance practices. Strong proficiency in designing, maintaining, and optimizing data platforms. Deep understanding of coding best practices, CI/CD processes, and version control. Experience in cloud data storage, processing architectures, and best practices. Ability to work with large datasets and improve computational performance. Proficiency in deploying, scheduling, and monitoring data workflows. Advanced skills in writing complex queries for relational and non-relational databases. Strong leadership capabilities, particularly in stakeholder engagement and data-driven decision-making. This role is ideal for a results-driven professional who enjoys solving complex data challenges and driving innovation within a collaborative environment. For more information on this role or other similar roles please contact Mae Fitzgerald Xpertise are acting as an employment agency and business
Senior Data Engineer employer: Xpertise Recruitment
Contact Detail:
Xpertise Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as GCP, BigQuery, DBT, and Dagster. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in leading data teams and executing complex initiatives. Be prepared to discuss specific examples of how you've successfully managed projects and collaborated with cross-functional teams to achieve data-driven outcomes.
✨Tip Number 3
Showcase your understanding of data governance frameworks and best practices. Being able to articulate how you've implemented data security measures and ensured compliance in previous roles will demonstrate your fit for this position.
✨Tip Number 4
Prepare to discuss your approach to mentoring junior data engineers. This role emphasizes leadership, so sharing your experiences in skill development and team support will highlight your capability to thrive in a collaborative environment.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities and required skills, especially focusing on GCP, BigQuery, DBT, and Dagster.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, cloud-based architectures, and any leadership roles you've held. Make sure to include specific examples of projects where you’ve implemented data solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to drive innovation. Mention how your background aligns with the company's goals and how you can contribute to their data strategy.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, emphasize your teamwork and communication skills in your application. Provide examples of successful collaborations in past projects.
How to prepare for a job interview at Xpertise Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with GCP, BigQuery, DBT, and Dagster in detail. Highlight specific projects where you successfully built scalable data pipelines or improved data infrastructure, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Emphasize Collaboration Skills
Since the role involves working closely with cross-functional teams, share examples of how you've effectively collaborated with others in past roles. Discuss how you’ve engaged stakeholders and contributed to a team-oriented environment to drive data strategy.
✨Demonstrate Leadership Qualities
As a Senior Data Engineer, you'll be expected to lead and mentor junior engineers. Prepare to talk about your leadership style, how you support team members' growth, and any experiences where you guided a team through complex initiatives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world data challenges. Think of scenarios where you had to ensure data accuracy, manage compliance, or optimize ETL workflows, and be ready to explain your thought process and the outcomes.
