At a Glance
- Tasks: Design and maintain automated data pipelines using Google Cloud to drive digital transformation.
- Company: Join Qodea, Europe's leading Google Cloud specialist consultancy, known for innovation.
- Benefits: Enjoy competitive salary, private healthcare, generous leave, and 10 paid learning days annually.
- Other info: Diversity and inclusion are at our core; we welcome all talents and perspectives.
- Why this job: Supercharge your career while working with cutting-edge tech in a supportive team environment.
- Qualifications: Experience in cloud platforms, SQL, and strong communication skills are essential.
The predicted salary is between 63000 - 77000 £ per year.
Qodea is Europe's leading Google Cloud specialist consultancy. We're a team that's energised by innovation and delivering exceptional results for our clients. We deliver cutting edge solutions across data and analytics, AI, cloud infrastructure or security that drive digital transformation and enable our customers to scale, modernise and thrive.
In joining Qodea, you'll work alongside specialists in their field and would have access to mentoring, industry-recognised training and certifications, and personalised development plans to support your career growth. We're always looking for motivated and energetic people who are eager to learn and grow, so if you want to supercharge your career, join Qodea!
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 bring:
- Experience in performing a technical leadership role on projects and 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
Desirable Skills:
- Certified in Google Cloud (Professional level) or equivalent certification with another cloud provider
- Experience working within a consulting organisation
How you'll grow:
As a Senior Data Engineer with Qodea, you'll be involved in projects to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets. You'd join a highly collaborative, creative and supportive team working to deliver solutions that surpass our customers' expectations, enabling them to utilise cutting-edge tools and technologies to derive value and insights from their data.
We're a dedicated Google Cloud Partner, which means that you'd be working on projects involving GCP services. Previous experience of GCP is not essential, but we'd expect you to have experience of one of the major public cloud providers (AWS, Azure or GCP).
Benefits
- Competitive salary
- Private healthcare scheme
- Company pension
- Death in Service - 4x annual salary
- 10 paid learning days per year
- Regular opportunities for industry recognised training and certifications
- Opportunities to develop within a fast growing tech business with ambitious growth and impact goals
- Generous annual leave policy and your birthday off (36 days inclusive of bank holidays)
- Length of service awards
- Sabbatical leave for employees over 5 years service
- Market leading parental leave policies
- Company events - opportunities to meet colleagues you don't see every day
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.
Senior Data Engineer employer: Qodea
At Qodea, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Manchester. Our commitment to employee growth is evident through mentorship opportunities and professional development initiatives, ensuring that our team members thrive while making a meaningful impact in the cybersecurity landscape. With competitive salaries and comprehensive health benefits, we provide a supportive environment where your expertise can flourish and contribute to enhancing security for diverse clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Qodea!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Qodea.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Qodea.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Qodea, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Qodea, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Qodea. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Qodea
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Qodea!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
