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- Tasks: Design and maintain data infrastructure, ensuring data quality and optimising data pipelines.
- Company: Join the UK's #1 construction software company with a mission to impact lives globally.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and a fitness club allowance.
- Why this job: Make a real difference in the construction industry while advancing your career.
- Qualifications: Proficiency in Python, SQL, and experience with data lakes and ETL processes.
- Other info: Hybrid working, strong focus on well-being, and a culture of diversity and equality.
The predicted salary is between 43200 - 72000 £ per year.
Do you want to help shape software that affects thousands of lives?
We are ranked as the UK’s #1 construction specific software player and our mission is simple; to provide market leading end-to-end software solutions to the construction and construction like industries across the entire build life cycle.
If you are looking to build an exceptional career with an award-winning company you’ve come to the right place. Our teams are based in the UK, Europe, and India, working on products that are used on a global scale. We have a clear and defined road map to deliver over the next 3 years, which is centred around a large-scale digital transformation as well as continuing our growth and expansion.
We embrace diversity and equality and want our employees to be comfortable bringing their whole selves to work. We are committed to building a team with a variety of backgrounds, skills and views. Creating a culture of Equality isn’t just the right thing to do, it improves every aspect of our business.
Purpose
Our technology is used by thousands of companies and affects millions of lives. We are looking for a Senior Data Engineer to be responsible for designing, developing, and maintaining our data infrastructure and systems. You will work closely with our Data Scientists and Analysts to ensure the availability, accuracy, and integrity of our data. You will also play a key role in building and optimising data pipelines, data models, and data integration processes.
Key Responsibilities
- Ensure data quality, working with the Architects and Product teams as necessary to agree on the core ingestion interfaces.
- Implement data transformations.
- Implement data test frameworks.
- Work with Data Scientists to productize complex analysis insights into structured data sets.
- Ensure data are catalogued correctly and that the correct security and sensitivity labels are assigned.
- Producing data warehouses as needed to surface information for BI and API reports.
- Use PowerBI to develop data visualisations for internal and external use.
Key Skills, Experience and Qualifications
- Proficiency in data ingestion and ETL processes.
- Proficiency in Python and PySpark.
- Strong experience with SQL for data manipulation and querying.
- Strong experience with data lake architectures and data warehousing.
- Experience with PowerBI for report development.
- Expertise in data transformation and validation.
- Experience with developing data test frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
What you get from us:
If you’re looking to build an exceptional career with an award-winning company you’ve come to the right place. We believe everyone at Causeway has a vital role to play in our success. Causeway is fuelled by curiosity and is a place for people who beam with positivity and burn with ambition. Our team is everything, so we’ll take good care of you. In fact, we give well-being the same priority as our other business goals. We’re strong advocates of work-life balance, offering hybrid working alongside the opportunity to work from modern, collaborative offices.
Our Values
- We are United. As part of a team, we’re better together.
- We are Agile. Be the change, we’re on a journey.
- We are Trusted. Do the right thing, we own this.
- We are Driven. Get stuck in, we make it happen.
Benefits
As a leader in employee engagement and people management, there are fantastic benefits and rewards at Causeway. We strive, year on year, to achieve recognition as an award-winning workplace that our employees love. We’ve selected just a few of the many benefits available below to show you how we take care of our Causeway stars.
- 25 days annual leave + public holidays, increasing with length of service.
- 4% matched pension.
- Income protection and life assurance.
- Access to our award-winning benefits platform.
- We take mental health seriously and have a dedicated EAP available 24/7.
- £100 allowance towards a fitness club.
- Dell discounts.
- Private Medical Insurance.
- Paid study leave + volunteering days.
- Car Scheme.
Like all responsible companies Causeway is aware of the need to recognise the importance of protecting our environment and addressing the climate emergency. Causeway is a carbon neutral company and we offset our calculated carbon footprint. However, we recognise that offsetting is not a permanent solution, so we set environmental objectives to reduce our footprint year-on-year.
Senior Data Engineer employer: Causeway
Contact Detail:
Causeway Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their mission and values, and think about how your skills as a Senior Data Engineer can contribute to their goals. This will help you stand out during the interview.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you've worked on relevant data engineering projects, make sure to highlight them. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining our award-winning team at Causeway.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data ingestion, ETL processes, and any relevant projects that showcase your skills in Python, SQL, and data warehousing.
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 mission at StudySmarter. Don’t forget to mention your familiarity with cloud platforms!
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. Quantify your successes where possible, like improving data processing times or enhancing data quality, to make your application stand out.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Causeway
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll need to demonstrate your expertise in data ingestion, ETL processes, and data warehousing. Brush up on your knowledge of Python, PySpark, and SQL, and be ready to discuss specific projects where you've implemented these skills.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about times when you had to work with Data Scientists to productise insights or implement data transformations. This will show your ability to collaborate and innovate.
✨Familiarise Yourself with Their Tech Stack
Research the cloud platforms they use, like AWS, Azure, or GCP, and understand their data services. Being able to speak knowledgeably about these technologies will impress your interviewers and show that you're proactive.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their data quality assurance processes or how they envision the role evolving with their digital transformation plans. This shows your genuine interest in the company and the position.
