At a Glance
- Tasks: Join our Data Engineering team to transform businesses using Google Cloud technologies.
- Company: Innovative tech company focused on cloud transformation and data solutions.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic role with potential for contract extensions and diverse project exposure.
- Why this job: Be a trusted advisor and make a real impact in the data engineering field.
- Qualifications: 5+ years of data engineering experience with strong Python and SQL skills.
The predicted salary is between 75 - 75 £ per hour.
GCP Data Engineer (Python/Big Query/Snowflake)
Remote - 6 months+ extensions - Anywhere in EU
MUST BE AN EXPERT IN GCP
Pay to candidate no higher than €75 per hour. / €600 a day
What you will do...
As a member of our Data Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation.
They will look at you as their trusted advisor, someone they can rely on and who will be there to help them along their journey on Google Cloud.
You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems.
NOTE: This opportunity is available on a contractor basis.
Who we need...
- 5+ years of experience serving as a data engineer or in a comparable engineering capacity
- Strong skills with Python or a JVM language (Java, Scala)
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience working with cloud data warehouses, specifically Big Query or +Snowflake
- Experience working with data platforms built on public cloud in a production setting.
- Experience working with GCP native data toolset is preferred.
- Having built ELT or ETL pipelines processing large amounts of data.
- Experience with dbt or Airbyte is preferred.
- Experience developing production Spark or Hadoop applications
- Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer
- Familiarity with modern Data Ops (e. g. quality eng, testing, pipeline deployments etc) practices and Ia C (e. g. Terraform)
- Familiarity with the constellation of tools in the data engineering ecosystem.
You should be comfortable picking up and learning a new tool, as well as recommending tools that have served you well.
- Experience with batch, micro-batch, and real-time streaming architectures
- Good internal and customer-facing communication skills
- Experience with relational database management systems and change data capture (CDC) is a plus
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
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GCP Data Engineer (Python/BigQuery/Snowflake) in Grimsby employer: SGI
Join a dynamic global trading firm in London, where innovation meets collaboration. As a Senior Full Stack Engineer, you'll thrive in a culture that values technical excellence and business insight, with opportunities for professional growth and direct impact on trading operations. Enjoy a fast-paced environment that encourages problem-solving and offers the chance to work closely with traders and stakeholders, making your contributions vital to the firm's success.
