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For Companies At a Glance
- Tasks: Lead innovative data projects and build robust data pipelines.
- Company: Join a forward-thinking tech company focused on data excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: 8+ years in data engineering with strong SQL and Python skills.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a Staff Data Engineer, you will be a technical leader and subject matter expert, driving innovation and excellence within our data engineering team. You will play a pivotal role in shaping our data strategy and architecture, ensuring the development of robust, scalable, and high‑performing data pipelines and platforms. You will be responsible for leading complex data initiatives, mentoring other engineers, and fostering a culture of continuous improvement and knowledge‑sharing. You will collaborate closely with cross‑functional teams to leverage data to its full potential, unlocking valuable insights and driving informed decision‑making.
Job Responsibilities
- Design and build end‑to‑end data pipelines, incorporating best practices to address a wide range of business requirements.
- Take ownership of major projects, providing technical guidance and direction to ensure successful delivery.
- Continuously evaluate and enhance the data infrastructure to ensure optimal performance, reliability, and scalability to meet the evolving needs of the business.
- Share knowledge and expertise with other data engineers, fostering professional growth and development within the team.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, Snowflake and AWS.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Partner with data scientists, analysts, product managers, and other stakeholders to understand their data needs and deliver solutions that empower them to achieve their goals.
Knowledge and Experience
- 8+ years of experience as a Data Engineer or in a similar role, with a proven track record of technical leadership and accomplishment.
- Deep expertise in data modelling, data warehousing, ETL, and data pipeline design and development.
- Mastery of SQL, Python, and other relevant programming languages.
- Extensive experience with building, testing, and deploying dbt models.
- Expert‑level proficiency in AWS Big Data Technologies (S3, MWAA, ECR, ECS) and Snowflake.
- Experience with Terraform, Docker, and Kubernetes.
- Strong understanding of Engineering and Operational Excellence methodologies.
- Deep knowledge of CI/CD concepts and implementation.
- Exceptional problem‑solving skills and ability to navigate complex technical challenges.
- Excellent written and verbal communication skills and ability to succinctly summarize key findings.
Additional Considerations
- Thought Leadership: Expected to contribute to the broader data community within Optimizely.
- Mentorship and Coaching: Demonstrated ability to mentor and guide other engineers, fostering a culture of learning and development.
- Cross‑functional Collaboration: Proven ability to effectively collaborate with diverse teams and stakeholders across the organization.
Education
- Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
Staff Data Engineer employer: Optimizely
Contact Detail:
Optimizely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Attend meetups, webinars, or industry events to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving SQL, Python, and AWS. This will give you an edge when chatting with hiring managers and help them see the value you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data pipelines, ETL processes, and any relevant tools like Snowflake and Terraform. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our needs, and let us know how you can contribute to our data strategy.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your 8+ years of experience in data engineering. We want to see how you've led projects and made a real impact in your previous roles. Use specific examples to showcase your technical leadership and accomplishments!
Be Clear and Concise: We love a good storyteller, but when it comes to applications, clarity is key! Make sure your writing is straightforward and to the point. Summarise your key findings and experiences succinctly, so we can easily see how you fit into our team.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Highlight your expertise in SQL, Python, and AWS Big Data Technologies, and explain how your skills align with our needs at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Optimizely
✨Know Your Tech Inside Out
As a Staff Data Engineer, you'll need to showcase your deep expertise in data modelling, ETL processes, and programming languages like SQL and Python. Brush up on your technical skills and be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Leadership Experience
Since this role involves technical leadership, prepare examples of how you've led complex data initiatives or mentored other engineers. Highlight your ability to drive innovation and foster a culture of continuous improvement within your team.
✨Understand the Business Impact
Be ready to discuss how your work as a Data Engineer has directly influenced business outcomes. Think about times when your data pipelines or analytics tools provided actionable insights that drove decision-making and improved operational efficiency.
✨Collaborate and Communicate
This role requires cross-functional collaboration, so practice articulating how you've worked with data scientists, analysts, and product managers. Emphasise your communication skills and your ability to summarise complex findings succinctly for diverse audiences.