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- Tasks: Join a team of Senior Data Engineers to build complex enterprise data models.
- Company: A global digital consultancy known for its great culture and commitment to diversity.
- Benefits: Enjoy flexible working, 25 days holiday, and a bonus of up to 10%.
- Why this job: Work on exciting projects with cutting-edge technology in a supportive environment.
- Qualifications: Strong programming skills in Python and Java; experience with data modelling and analytics.
- Other info: This role is client-facing, requiring excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Your Remote Tech Recruiter is engaged with a Digital Consultancy who are recruiting Senior Data Engineers for a multi-year program of work with one of their largest clients, with the roles based out of Birmingham.
They\’re a global organisation (operate across the US, UK, Europe and Asia), with a focus on delivering end-to-end digital transformation projects across a range of industries including Retail, Financial Services, Healthcare and Life Sciences (to name but a few).
They\’ve got a genuinely great culture, with a commitment to DE&I, and they\’ve been a certified \’Great Place to Work\’ for multiple years (consecutively I might add!). Moreover, they operate an \’employee first\’ mindset with tailored career development, varied company benefits and flexible working being some of the many perks of working for them.
In terms of this role, they\’re looking to add Senior Data Engineers to help one of their clients build a complex enterprise data model as part of a huge re-platforming project. The work is complex, the tech is pretty cool, and they\’re looking for applicants with experience of some (not necessarily all) of the following:
- Strong programming skills in Python and Java (ideally).
- Experience with Data Modelling, Data Analytics and Business Intelligence.
- Experience working with DB technologies such as SQL, MySQL, Oracle etc.
- Strong focus on modern engineering practices such as DevOps, CI/CD etc.
- Some experience working with Web Services (SOAP, REST).
- Background working in an Agile environment.
Moreover, due to this organisation being a Consultancy, strong communication skills (i.e. the ability to talk to stakeholders about complex technical concepts) is key, as your role will be client-facing.
In return, you\’ll get the following:
- Base salary ranging from £60,000 – £80,000 (depending on experience)
- Bonus of up to 10% (performance-based)
- Life insurance and income protection
- Holiday allowance of 25 days (plus 8 bank holidays)
- Enhanced maternity/paternity pay
- Free employee Udemy account
- Range of additional perks including \’cycle to work\’ schemes, expensed training and a travel loan scheme.
In order to apply, all you need to do is submit a CV (it doesn\’t have to be fully up to date) by clicking \’Apply\’ or \’Submit\’ on the relevant job board.
Finally, this company doesn\’t offer visa sponsorship so applicants who don\’t hold a valid \’Right to Work\’ in the UK won\’t be considered.
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Senior Data Engineer employer: Your Remote Tech Recruiter
Contact Detail:
Your Remote Tech Recruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Java, SQL, and DevOps practices. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Prepare to discuss your experience in Agile environments and how you've successfully communicated complex technical concepts to non-technical stakeholders. This is crucial for a client-facing role, so think of examples that highlight your communication skills.
✨Tip Number 3
Research the company culture and values, especially their commitment to diversity, equity, and inclusion. Be ready to articulate how your personal values align with theirs, as cultural fit is often just as important as technical skills.
✨Tip Number 4
Network with current or former employees of the consultancy on platforms like LinkedIn. Engaging with them can provide insights into the interview process and company culture, which can be invaluable when preparing for your application.
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, programming skills in Python and Java, and familiarity with data modelling and analytics. Use keywords from the job description to align your skills with what the company is looking for.
Showcase Communication Skills: Since this role is client-facing, emphasise your strong communication skills. Provide examples of how you've effectively communicated complex technical concepts to stakeholders in previous roles.
Highlight Relevant Experience: Detail your experience with DB technologies like SQL, MySQL, and Oracle, as well as your understanding of modern engineering practices such as DevOps and CI/CD. Mention any Agile environment experience to demonstrate your adaptability.
Express Enthusiasm for Company Culture: In your application, convey your excitement about the company's commitment to diversity, equity, and inclusion, as well as their employee-first mindset. This shows that you align with their values and are a good cultural fit.
How to prepare for a job interview at Your Remote Tech Recruiter
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and Java during the interview. Be prepared to discuss specific projects where you've used these languages, as well as your experience with data modelling and analytics.
✨Communicate Clearly
Since this role is client-facing, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as you may need to discuss your work with stakeholders who might not have a technical background.
✨Demonstrate Agile Experience
Be ready to talk about your experience working in Agile environments. Share examples of how you've contributed to team sprints or adapted to changing project requirements, as this will show your flexibility and teamwork skills.
✨Familiarise Yourself with Modern Practices
Brush up on modern engineering practices like DevOps and CI/CD. Discuss any relevant experiences you have with these methodologies, as they are crucial for the role and will demonstrate your commitment to best practices in data engineering.
