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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines to help clients leverage their data.
- Company: Join Turner & Townsend, a global leader in delivering ambitious projects across 130 countries.
- Benefits: Enjoy a flexible work environment that promotes work-life balance and personal growth.
- Why this job: Work on exciting projects, collaborate with diverse teams, and make a real impact.
- Qualifications: Experience with Azure technologies, programming languages like SQL and Python, and strong communication skills.
- Other info: We celebrate diversity and encourage applications from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society. Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative, and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result, our people get to enjoy working on some of the most exciting projects in the world.
Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit a data engineer with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets.
The Role As part of the role you will:
- Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy
- Understand and translate end-user requirements into designs and delivery plans for effective data solutions
- Design, develop, execute, and maintain highly automated data pipelines using cloud technologies
- Analyse and resolve data quality issues
- Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team
- Identify opportunities for improvement and promote these through the team
- Actively mentor and develop others in the team and inspire them through commitment and enthusiasm
- Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance
- Take knowledge or experience and translate into new ideas or solutions
- Contribute to the development and maintenance of T&Ts documentation and processes
Qualifications Skills required for this role are:
- Proven ability to work with: Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse (and data warehousing approaches) or SSIS, Azure Analysis Services
- Experience in programming languages such as: SQL, Python, Spark, DAX
- A good understanding of DevOps practices: CI/CD (Azure DevOps preferable), GIT and Version Control
- Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.
Desirable:
- MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases
- Data modelling including Kimball
- Container technologies such as Kubernetes and Docker
- Experience translating designs of Azure data solutions into action
- Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies
- Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc.
Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.
It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.
Data Engineering Consultant employer: TURNER & TOWNSEND-1
Contact Detail:
TURNER & TOWNSEND-1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, Azure Data Factory, and SQL. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the data engineering field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data quality issues and how you've resolved them in past projects. This is a key aspect of the role, and demonstrating your problem-solving skills will impress potential employers.
✨Tip Number 4
Showcase your ability to work in multi-disciplinary teams by preparing examples of past collaborations. Highlighting your communication skills and teamwork will resonate well with the inclusive culture they promote.
We think you need these skills to ace Data Engineering Consultant
Some tips for your application 🫡
Understand the Role: Read the job description carefully to grasp the key responsibilities and required skills for the Data Engineering Consultant position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: When writing your CV and cover letter, focus on your experience with data engineering tools and technologies mentioned in the job description, such as Databricks, Azure Data Factory, and programming languages like SQL and Python.
Showcase Communication Skills: Since exceptional communication skills are essential for this role, provide examples in your application that demonstrate your ability to translate complex technical concepts into understandable terms for diverse audiences.
Personalise Your Application: Make sure to personalise your cover letter by addressing it to the hiring manager if possible. Mention why you are interested in working at Turner & Townsend and how you can contribute to their mission and values.
How to prepare for a job interview at TURNER & TOWNSEND-1
✨Showcase Your Technical Skills
Make sure to highlight your experience with Databricks, Azure Data Factory, and other relevant technologies. Be prepared to discuss specific projects where you've designed and maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Exceptional communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you may need to present your ideas to non-technical stakeholders during the interview.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've tackled data quality issues or improved data workflows in previous roles. Providing concrete examples will show your analytical thinking and ability to resolve challenges effectively.
✨Emphasise Team Collaboration
Turner & Townsend values teamwork, so share experiences where you've collaborated with multi-disciplinary teams. Highlight your mentoring skills and how you've contributed to fostering an inclusive team culture.
