At a Glance
- Tasks: Design and build data pipelines to process and analyse large datasets.
- Company: Join a forward-thinking organisation dedicated to making Lincolnshire safer.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and ethical standards.
- Why this job: Make a real difference by transforming data into valuable insights for the community.
- Qualifications: Experience in data engineering and knowledge of modern data technologies.
The predicted salary is between 40000 - 50000 £ per year.
The Data Engineer is responsible for designing, building, and maintaining our data infrastructure, ensuring the efficient and reliable processing, storage, and analysis of large datasets.
The role will develop and deploy ETL processes from various systems to enhance the data capabilities of the force. They will contribute to ensuring our data, and data shared by others is of the highest quality, available and usable.
The role requires a good level of knowledge and functional understanding of modern data technologies and platforms. They will cultivate strong and effective working relationships with individuals, teams and colleagues, both internal and external to the Force. In particular, they will work with performance, information and data analysts to build products and services which deliver insight and value to the Force and its ability to make Lincolnshire a safe place to live, work and visit.
Demonstrate the Force values at all times. All staff involved in carrying out functions in this role will do so in accordance with the principles of the Code of Ethics. The aim of the Code of Ethics is to support each member of the policing profession to deliver the highest professional standards in their service to the public.
CORE WORK AREAS
- Design and implement scalable, efficient, and robust data pipelines to extract, transform, and load (ETL) data from various sources into databases.
- Build and link data sets so that the Force can easily derive insights from its data.
- Write ETL scripts to ensure the ETL process performs optimally, leading on extracting data, joining and helping analysts to derive insights.
- Troubleshoot and resolve issues as they arise, to ensure the timely delivery of high-quality data.
- Identify and automate manual data flows and reports to enable scaling and repeatable use, working with colleagues across the organisation.
- Engage and collaborate with teams across the Force, to understand their data requirements and translate them into technical solutions.
- Work closely with data stakeholders to provide support and guidance on how to use the data engineering infrastructure effectively.
- Work with information analysts and BI developers to build optimal and reusable visualisations and reports.
- Extract, clean, combine and store data in a way that allows it to be exploited and as an asset to help service delivery and decision making.
- Support the Information Management Unit (IMU) colleagues implementing data quality checks, data validation, and data cleansing processes to help ensure the accuracy, consistency, and integrity of the data.
- This may include purging data in accordance with regulation and internal policy.
- Adhere to data governance policies and standards, ensuring compliance with data privacy and security regulations.
- Anonymise data wherever necessary, working within the principles of GDPR and with suitable data protection and sharing agreements in place.
- Document data engineering processes, workflows, and technical specifications to facilitate knowledge sharing and ensure reproducibility of analyses.
- Stay up-to-date with emerging trends and advancements in data engineering, evaluating and recommending new tools, techniques, and best practices that will enhance the data engineering infrastructure.
- Contribute to data strategy, writing good standards and practice for data engineering.
Data Engineer in Nettleham employer: Deekay Technical Recruitment
As a Data Engineer with us, you will be part of a dynamic team dedicated to enhancing the safety and quality of life in Lincolnshire through innovative data solutions. We pride ourselves on fostering a collaborative work culture that values professional growth, offering ample opportunities for skill development and career advancement. Our commitment to ethical standards and community service makes us not just an employer, but a partner in making a meaningful impact.
Contact Details:
Deekay Technical Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Nettleham
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We think you need these skills to ace Data Engineer in Nettleham
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!
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Craft a Tailored Cover Letter:For a full-time role at Deekay Technical Recruitment, 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 Deekay Technical Recruitment. 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 Deekay Technical Recruitment
✨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!
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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 Deekay Technical Recruitment!
✨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.
