Senior Data Engineer

Senior Data Engineer

Manchester Full-Time 30000 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and maintain automated data processing pipelines using Google Cloud.
  • Company: Join Qodea, Europe's leading Google Cloud specialist consultancy focused on innovation.
  • Benefits: Enjoy competitive salary, private healthcare, generous leave, and 10 paid learning days annually.
  • Why this job: Be part of a creative team delivering cutting-edge solutions that drive digital transformation.
  • Qualifications: Experience with cloud platforms, SQL, and big data technologies is essential.
  • Other info: Diversity and inclusion are core values; we welcome all backgrounds.

The predicted salary is between 30000 - 48000 £ per year.

Qodea Manchester, England, United Kingdom

Qodea Manchester, England, United Kingdom

Get AI-powered advice on this job and more exclusive features.

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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    IT Services and IT Consulting

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Senior Data Engineer employer: Qodea

At Qodea, we pride ourselves on being a leading Google Cloud specialist consultancy that fosters a vibrant and innovative work culture in Manchester. Our commitment to employee growth is evident through our extensive training programmes, competitive benefits, and a supportive environment that encourages collaboration and creativity. Join us to supercharge your career while working on cutting-edge projects that make a real impact in the world of data and analytics.
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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 services, as Qodea is a dedicated Google Cloud Partner. Consider taking online courses or certifications to boost your knowledge and demonstrate your commitment to working with GCP.

✨Tip Number 2

Network with professionals in the data engineering field, especially those who work with cloud technologies. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and tools in data engineering.

✨Tip Number 3

Showcase your problem-solving skills by preparing examples of past projects where you successfully tackled complex data challenges. Be ready to discuss these experiences during interviews to highlight your technical leadership capabilities.

✨Tip Number 4

Research Qodea's recent projects and case studies to understand their approach to data solutions. This will not only help you tailor your discussions but also demonstrate your genuine interest in the company and its mission.

We think you need these skills to ace Senior Data Engineer

Cloud Platform Proficiency (AWS, Azure, GCP)
SQL Expertise
Experience with Relational Databases (MySQL, PostgreSQL, Oracle)
Big Data Technologies (Hadoop, Spark, Hive)
Data Warehousing and ETL Tools (Amazon Redshift, Google BigQuery, Apache Airflow)
Proficiency in Python and at least one other programming language (Java, Scala)
Automated Data Processing Pipeline Development
Data Quality Monitoring and Troubleshooting
Data Governance Implementation
Data Modelling for Analytics and Reporting
Strong Analytical and Problem-Solving Skills
Technical Leadership and Decision Making
Stakeholder Management and Communication Skills
Mentoring Junior Team Members

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your technical leadership, cloud platform experience, and any big data technologies you've worked with.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Qodea and the specific role. Mention how your background in data engineering and your problem-solving skills make you a great fit for their team.

Showcase Your Projects: Include examples of projects where you've designed and maintained data pipelines or worked with cloud platforms. Highlight your contributions and the impact of your work on those projects.

Highlight Soft Skills: Don't forget to mention your communication and stakeholder management skills. Qodea values collaboration, so demonstrating your ability to work well in a team is crucial.

How to prepare for a job interview at Qodea

✨Showcase Your Technical Leadership

As a Senior Data Engineer, you'll need to demonstrate your experience in technical leadership. Be prepared to discuss specific projects where you contributed to decision-making and how you guided your team through challenges.

✨Highlight Your Cloud Experience

Qodea values experience with cloud platforms like Google Cloud, AWS, or Azure. Make sure to share examples of how you've used these technologies in past projects, particularly in building data pipelines and ensuring data quality.

✨Communicate Effectively

Strong communication skills are essential for engaging with stakeholders. Practice articulating complex technical concepts in a way that non-technical team members can understand, as this will be crucial in your role.

✨Demonstrate Problem-Solving Skills

Be ready to discuss specific instances where you've tackled complex data engineering problems. Highlight your analytical approach and the tools you used to arrive at effective solutions, especially in a collaborative environment.

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