Scrumconnect Consulting is seeking a highly skilled Data Engineer to join our innovative team. In this role, you will be responsible for building and optimizing our data pipelines and supporting the data needs of our Business Intelligence and analytics teams. If you have a passion for data and a knack for solving complex challenges, we invite you to apply.

Key Responsibilities:

- Implement data flows to connect operational systems with data for analytics and Business Intelligence (BI) systems.
- Document source-to-target mappings and re-engineer manual data flows to enable scalability and repeatable use.
- Support the build of data streaming systems to handle large volumes of data in Real Time.
- Write ETL (Extract, Transform, Load) scripts and code to ensure optimal performance of the ETL processes.
- Develop reusable Business Intelligence reports and build accessible data for analysis.
- Collaborate with Data Scientists to build analytics tools that utilize the data pipeline to provide actionable insights for management, operational efficiency, and other key business performance metrics.

Essential Skills and Experience:

- Hands-on coding experience in R or Python, with a solid understanding of programming paradigms and concepts needed in Data Engineering.
- Expertise in working with numpy, scipy, pandas, and data visualization tools in Python or equivalent packages in R.
- Strong knowledge of SQL, with experience in working with both traditional RDBMS and distributed datasets.
- Deep understanding of SQL, cloud-based data pipelines, architectures, and data sets.
- Experience in writing complex queries against relational and non-relational data stores.
- Good understanding of Data Warehousing and Data Lakehouse concepts.
- Proven experience working with large data sets, data pipelines, and cloud services.
- Experience in building reliable, efficient data applications, systems, services, and platforms.
- Familiarity with big data tools such as Hadoop and Spark.
- Background in programming using Open Source technologies, along with Python, Java, or C++/.Net.
- Good written and verbal communication skills with a strong desire to work in cross-functional teams.
- Awareness of data security best practices and GDPR compliance toward personal data.
- Experience working in an agile environment or organizations with an agile culture.

Desirable Skills:

- Knowledge of Machine Learning and traditional Data Science concepts is beneficial but not mandatory.
- Understanding of design choices for data storage and data processing, particularly with a focus on cloud data services.
- Familiarity with technologies such as Apache Spark or Airflow.
- Experience using parallel computing to process large datasets and optimize computationally intensive tasks is advantageous but not mandatory.

Qualifications:

- Degree or equivalent in a relevant subject, such as Computer Science, Information Systems, or a related technical discipline.

Why Join Us:

- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies in a dynamic environment.
- Collaborative and inclusive culture that values professional growth and continuous learning.
- Work-life balance with flexible working arrangements.
- Skilled worker visa can be processed for candidates outside of the United Kingdom.