Senior Data Engineer

Job Description

Empiric's client is one of the most dominant technology first businesses worldwide. They partner with clients to develop and test new technologies that hit the market.

They are seeking a skilled and experienced Data Engineer to join a growing team who will work closely with data scientists, analysts and developers to deliver high quality data solutions that drive insights and informed business decisions for a host of blue-chip to boutique clients. The ideal candidate will have at least 2 years of experience in data engineering, with a strong background in designing, building, and maintaining large-scale data pipelines and databases.

Responsibilities:

• Design, build and maintain large-scale data pipelines that ingest and process data from various sources.
• Develop and maintain data models and databases that support efficient data retrieval and analysis.
• Implement ETL processes to transform data into structured formats that can be easily analysed.
• Work with data scientists to design and implement machine learning models that leverage data to drive insights.
• Collaborate with software developers to integrate data pipelines with existing applications and services.
• Ensure that data pipelines and databases are scalable, reliable, and secure.
• Monitor performance and troubleshoot issues with data pipelines and databases.
• Stay up-to-date with emerging data technologies and trends and provide recommendations on the adoption of new technologies and tools.

Qualifications:

• Bachelor's or Master's degree in computer science, software engineering, or a related field.
• 1-5 years of experience in data engineering.
• Experience with programming languages such as Python, Java, or Scala.
• Strong experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, Cassandra, etc.
• Hands-on experience with big data technologies such as Hadoop, Spark, and Kafka.
• Familiarity with data warehousing and ETL technologies such as Snowflake, Redshift, and Airflow.
• Affinity with cloud based technologies (Azure, GCP, AWS)
• Ability to work in a fast-paced, dynamic environment with tight deadlines.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

We offer competitive compensation packages, very flexible work arrangements, and opportunities for growth and career development. If you are passionate about data engineering and want to work in a dynamic, challenging environment, we would love to hear from you.

Interested? Please contact Hugo Hinde, Consultant – Empiric for an informal discussion – hugo.hinde@empiric.com, Tel: +31203690852

Empiric Solutions Empiric is a dynamic technology and transformation recruitment agency's specialising in data, digital, cloud and security. We supply technology and change recruitment services to businesses looking for both contract and permanent professionals globally.