At a Glance
- Tasks: Join a leading tech consultancy to modernise data services and deliver secure products.
- Company: World-class technology consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on mentoring and career development.
- Why this job: Make an impact in data engineering while learning from industry experts.
- Qualifications: Strong SQL skills, experience with ETL tools, and knowledge of cloud platforms.
The predicted salary is between 50000 - 70000 € per year.
Agilis Recruitment are supporting a key client, a world leading Technology Consultancy in their search for experienced data engineers. These roles will contribute to data acquisition, preparation and management, helping modernise services and deliver secure, reliable data products at scale.
What You’ll Bring
The team delivers solutions across a wide range of technologies, and so are looking for candidates with strong knowledge in data engineering fundamentals, with the ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling.
Essential skills and experience:
- Strong SQL and hands-on experience with data modelling.
- Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
- Experience with databases/data platforms (ideally Oracle or Cloudera).
- Knowledge of cloud platforms (ideally AWS).
- Good experience with programming/scripting languages (e.g. Python, Bash).
- Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
- Excellent client-facing and consultancy skills.
- Experience working in Agile delivery environments.
- Drive to share knowledge, mentoring and developing others.
Desirable to have skills or experience in:
- SAS Viya for data analytics.
- Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow).
- Denodo for data virtualisation.
- Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects).
- ALM Tooling (Jira, Confluence).
- CI/CD (GitLab).
PLEASE NOTE: All candidates must have active SC Clearance, or eligibility to obtain.
Data Engineer in England employer: Agilis Recruitment
Join a world-leading Technology Consultancy that values innovation and collaboration, offering data engineers the chance to work on cutting-edge projects in a dynamic environment. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others, all while contributing to impactful data solutions. Located in a vibrant tech hub, this role not only promises a competitive salary and benefits but also a culture that fosters creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's SQL queries, ETL processes, or cloud solutions. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with tools like Talend or AWS, and don’t forget to highlight your consultancy skills – they’re just as important!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your strong SQL knowledge, ETL/ELT tooling experience, and any cloud platform familiarity you have. We want to see how you fit into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your interest in learning and cross-skilling – we love that!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We’re keen to see your hands-on experience with data modelling and programming languages like Python. It’s all about demonstrating your practical skills!
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Agilis Recruitment
✨Know Your Data Engineering Fundamentals
Make sure you brush up on your data engineering fundamentals before the interview. Be ready to discuss concepts like integration, transformation, orchestration, and version control. This will show that you have a solid understanding of the core principles that drive the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your hands-on experience with SQL, ETL/ELT tools, and cloud platforms. Bring examples of projects where you've used these technologies, especially if you've worked with AWS or databases like Oracle. This practical knowledge will set you apart from other candidates.
✨Highlight Your Agile Experience
Since the role involves working in Agile environments, be ready to share your experiences in Agile delivery. Talk about how you've collaborated with teams, adapted to changes, and delivered results in a fast-paced setting. This will show that you're not just technically skilled but also a team player.
✨Demonstrate Your Consultancy Skills
As client-facing skills are essential, think of examples where you've successfully communicated complex data concepts to non-technical stakeholders. Highlight your ability to mentor others and share knowledge, as this aligns with the company's values and shows your commitment to teamwork.
