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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using cutting-edge tools.
- Company: Join Qodea, Europe's top Google Cloud consultancy focused on innovation and exceptional results.
- Benefits: Enjoy competitive salary, flexible hours, 36 days leave, and private medical insurance.
- Why this job: Be part of a dynamic team driving digital transformation and empowering clients across industries.
- Qualifications: Experience with cloud platforms, SQL, and big data technologies is essential.
- Other info: Opportunities for career advancement and a commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Join Europe\’s leading, high-growth Google Cloud consultancy. At Qodea, you\’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We\’re driven by ideas and powered by our people.
We are looking for a Senior Data Engineer to deliver solutions that surpass our customers expectations, by utilising cutting-edge tools and technologies.
We really value in-person collaboration, so we\’re looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client\’s site.
How You\’ll Shape Our Success
The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets.
What You\’ll Do
Develop and maintain automated data processing pipelines using Google Cloud:
- Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
- Build and maintain automated data pipelines to monitor data quality and troubleshoot issues
Implement and maintain databases and data storage solutions:
- Stay up-to-date with emerging trends and technologies in big data and data engineering
- Ensure data quality, accuracy, and completeness
Implement and enforce data governance policies and procedures to ensure data quality and accuracy:
- Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes
- Develop and maintain data models to support analytics and reporting
- Monitor and maintain data infrastructure to ensure availability and performance
Requirements
What You\’ll Need to Succeed
- Experience in contributing to technical decision making during in-flight projects
- A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills
- Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers
- Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
- Proficiency in Python and at least one other programming language such as Java, or Scala
- Willingness to mentor more junior members of the team
- Strong analytical and problem-solving skills with the ability to work independently and in a team environment
How You\’ll Grow
- Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs
- Potential career development could include progression to the next level or cross-skilling into related roles, based on performance and ongoing development
Benefits
Financial:
- Competitive base salary
- Matching pension scheme (up to 5%) from day one
- Discretionary company bonus scheme
- 4 x annual salary Death in Service coverage from day one
- Employee referral scheme
Health and Wellbeing:
- Private medical insurance from day one
- Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy
- EAP service
- Cycle to Work scheme
Time Off and Flexibility:
- 36 days annual leave (inclusive of bank holidays)
- An extra paid day off for your birthday
- Ten paid learning days per year
- Flexible working hours
- Market-leading parental leave
- Sabbatical leave (after five years)
- Work from anywhere (up to 3 weeks per year)
Development and Recognition:
- Industry-recognised training and certifications
- Bonusly employee recognition and rewards platform
- Clear opportunities for career development
- Length of Service Awards
Extra Perks:
- Regular company events
- Tech Scheme
Diversity and Inclusion Statement
At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at careers@qodea.com or connect with us on LinkedIn via our Qodea Company Page. #J-18808-Ljbffr
Senior Data Engineer employer: Qodea
Contact Detail:
Qodea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) and its data engineering tools. Since the role specifically mentions GCP, showcasing your hands-on experience with this platform during networking or interviews can set you apart.
✨Tip Number 2
Engage with the data engineering community by attending meetups or webinars focused on big data technologies like Hadoop and Spark. This not only helps you stay updated but also allows you to network with professionals who might have insights into Qodea's hiring process.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving data pipelines and ETL processes. Being able to articulate your problem-solving approach and technical decision-making will demonstrate your fit for the role.
✨Tip Number 4
Showcase your soft skills, particularly in communication and stakeholder management. Since the role involves collaboration with data scientists and analysts, emphasising your ability to work well in a team and engage with clients can make a strong impression.
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 in data engineering, particularly with cloud platforms like Google Cloud. Emphasise your proficiency in SQL and any big data technologies you've worked with.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and innovation. Mention specific projects where you've successfully designed and maintained data pipelines, and how you can contribute to Qodea's mission.
Showcase Your Technical Skills: Clearly outline your technical skills in your application. Include your experience with programming languages like Python and Java, as well as any familiarity with ETL tools and data warehousing solutions.
Highlight Collaboration Experience: Since Qodea values in-person collaboration, mention any past experiences where you've worked closely with teams or stakeholders. This will demonstrate your ability to thrive in their collaborative environment.
How to prepare for a job interview at Qodea
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms like Google Cloud, AWS, or Azure. Highlight specific projects where you designed and built data pipelines, and be ready to explain the tools and technologies you used.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills. Prepare examples of complex problems you've solved in previous roles, particularly those involving big data technologies like Hadoop or Spark.
✨Emphasise Communication and Collaboration
Since the role involves working closely with data scientists and stakeholders, be ready to discuss how you've effectively communicated technical concepts to non-technical audiences and collaborated on projects.
✨Prepare for Data Governance Discussions
Understand the importance of data quality and governance. Be ready to talk about your experience implementing data governance policies and how you've ensured data accuracy and completeness in past projects.
