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For Companies At a Glance
- Tasks: Collaborate on data engineering projects and support client engagements in a dynamic team.
- Company: Join Credera, a global consulting firm with a focus on AI and technology.
- Benefits: Enjoy flexible benefits, 25-30 days holiday, and one-to-one mentoring.
- Why this job: Kickstart your career in a collaborative environment with real impact on innovative projects.
- Qualifications: Experience in back-end/data engineering and a passion for learning new technologies.
- Other info: Opportunities for growth in a supportive, agile team.
The predicted salary is between 28800 - 48000 £ per year.
Job Overview
Data Engineer, Delivery Centre – Credera, Newcastle upon Tyne, United Kingdom. The Delivery Centre provides dedicated engineering capacity for client partnerships, focusing on building microservices architectures, AI and machine learning capabilities, and cloud infrastructure. The central hub for this position is in Newcastle, with opportunities for applicants from across the UK.
Note: This information relates to a specific client requirement. Any offer of employment is subject to satisfactory BPSS and SC security clearance, including a minimum of 5 years’ continuous UK residency and confirmation of holding a British passport at the point of application.
How you will be expected to work
As an Engineer in Credera’s Delivery Centre capability, you’ll work as part of a close-knit team supporting one of our long-term client partnerships alongside architects, support engineers, and delivery leaders. You’ll have the opportunity to learn from a team of experts and develop into a future technical leader.
As a junior delivery centre engineer you will work closely with a senior consulting engineer who will engage with clients directly, typically on site, shape initial problems and translate requirements into technical tasks. You’ll be expected to communicate clearly, act with humility, and work both collaboratively and independently on technical tasks and objectives.
Responsibilities
- Collaborate with team members to support client engagements within the Delivery Centre
- Help translate client requirements into technical tasks
- Contribute to the development and operation of data and analytics platform capabilities
- Assist with monitoring, logging, and observability of data pipelines and workflows
- Engage with architects, technology consultants, and client stakeholders as needed
Requirements
You’ll have:
- The ability to work collaboratively
- Experience of back-end / data engineering across a number of languages (including Python), and commonly used IDEs
- Experience with developing, scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services
- Experience querying data stored on AWS S3 or Azure ADLSv2, or through a Lakehouse capability
- Experience in managing API-level and database connectivity
- Experience using source control and DevOps tooling such as Gitlab
- Experience in use of Terraform (or similar cloud-native products) to build new data & analytics platform capabilities
- Experience supporting live service within a standard Service Management environment
- Experience automating operations tasks with one or more scripting languages
- Experience with developing data features and associated transformation procedures on a modern data platform (e.g., Azure Fabric, AWS Lake Formation, Databricks, Snowflake)
- Experience in configuring logging, alerts and observability of data jobs and pipelines using AWS or Azure services
- Experience with relational databases such as PostgreSQL, Oracle DB or MySQL
- Experience working within a team in an agile, iterative engineering environment
- A drive for self-improvement and learning new technologies and programming languages
- Approach to problem solving that is pragmatic
Benefits and culture
- A highly collaborative working environment and competitive compensation
- A range of flexible benefits for well-being and lifestyle
- One-to-one mentoring and hands-on experience for growth
- Personalised learning and development opportunities
- 25 days of holiday, with flexibility to up to 30 days
- 1 CSR volunteering day to give back to the community
Learn More: Credera is a global consulting firm that combines transformational consulting capabilities with AI and technology expertise to deliver valuable customer experiences across industries. Credera is part of the OPMG Group of Companies, a division of Omnicom Group Inc. Credera will never ask for money up front and will not use messaging apps for communicating with you. Be cautious of opportunities that ask for money or require communication exclusively via chat.
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Data Engineer, Delivery Centre employer: Credera
Contact Detail:
Credera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Delivery Centre
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Get comfortable explaining your thought process and problem-solving approach, as this is key for roles like Data Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer, Delivery Centre
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with back-end data engineering, AWS or Azure ETL services, and any relevant programming languages like Python. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your previous experiences have prepared you for it. Don’t forget to mention your collaborative spirit and eagerness to learn from our expert team.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially those involving data pipelines, microservices, or cloud infrastructure.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at Credera!
How to prepare for a job interview at Credera
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, AWS, and Azure. Brush up on your experience with ETL processes and data pipelines, as these will likely come up during the interview.
✨Showcase Collaboration Skills
Since this role emphasises teamwork, be prepared to discuss examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate clearly and work both independently and as part of a team.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving approach. Think of specific challenges you've faced in data engineering and how you tackled them. This will demonstrate your pragmatic approach to technical issues.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team dynamics, project methodologies, or the technologies they use. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
