At a Glance
- Tasks: Join us as a SQL Data Engineer and enhance data processes with cutting-edge ETL techniques.
- Company: Dynamic tech company offering hybrid work and a collaborative environment.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a team that values creativity and offers excellent career advancement opportunities.
- Why this job: Make a real impact by optimising data integration and supporting innovative projects.
- Qualifications: Strong SQL Server experience and a knack for problem-solving in data environments.
The predicted salary is between 60000 - 65000 £ per year.
The successful candidate will have strong experience in SQL Server Integration Services (SSIS), data warehousing, and ETL development, with a proven ability to integrate data from multiple source systems into a unified enterprise data warehouse. You will work closely with Data Analysts, developers, subject matter experts, and business stakeholders throughout the analysis, development, testing, and implementation lifecycle.
Key Responsibilities
- Support analysis and design activities, including mapping source data to existing data models and contributing to the design of database schemas and SSIS packages.
- Redevelop and enhance ETL processes in line with technical standards to support data ingestion, transformation, and integration from multiple source systems.
- Develop and maintain complex T‑SQL scripts, stored procedures, and database objects to support data processing and analysis.
- Optimise ETL processes, queries, and database performance to ensure scalability, stability, and efficient handling of growing data volumes.
- Conduct testing and validation activities to ensure data accuracy, performance, and successful integration across systems.
- Identify, troubleshoot, and resolve data quality, transformation, and integration issues.
- Maintain comprehensive technical documentation, including ETL processes, data mappings, requirements, and testing evidence.
- Collaborate effectively with technical and non-technical stakeholders to ensure successful delivery of data warehousing initiatives.
Required Skills & Knowledge
- Extensive hands‑on experience with SQL Server Integration Services (SSIS) and Microsoft SQL Server development.
- Strong expertise in T‑SQL programming, including stored procedures, query optimisation, and performance tuning.
- Experience scripting within SSIS using technologies such as PowerShell, C#, or Python.
- Strong understanding of data warehousing concepts, architectures, methodologies, and best practices.
- Solid knowledge of database design, indexing strategies, and query optimisation techniques.
- Strong analytical and problem‑solving skills with the ability to identify and resolve complex data issues.
- Excellent communication and stakeholder engagement skills.
- High attention to detail and commitment to data quality and accuracy.
Desirable Skills & Experience
- Experience modernising or uplifting existing data warehouse environments.
- Experience of DB2.
- Experience with WhereScape RED.
- Knowledge of additional database technologies and cloud‑based data platforms.
- Understanding of data modelling and data architecture principles.
- Familiarity with data governance frameworks and data quality best practices.
SQL Data Engineer – 11664SJR in Bristol employer: Proactive.IT Appointments Limited
Proactive Appointments Limited is an excellent employer for SQL Data Engineers, offering a hybrid working model that promotes work-life balance while engaging in meaningful projects. With a strong focus on employee growth and development, the company fosters a collaborative work culture where you can enhance your skills alongside experienced professionals in data warehousing and ETL processes. Located in a vibrant area, employees benefit from a supportive environment that values innovation and encourages continuous learning.
Contact Details:
Proactive.IT Appointments Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Engineer – 11664SJR in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Proactive.IT Appointments Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like SQL Data Engineer – 11664SJR at Proactive.IT Appointments Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Proactive.IT Appointments Limited.
✨Apply Directly through Our Website
When you find a suitable opening like SQL Data Engineer – 11664SJR at Proactive.IT Appointments Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace SQL Data Engineer – 11664SJR in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Proactive.IT Appointments Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Proactive.IT Appointments Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Proactive.IT Appointments Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Proactive.IT Appointments Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
