Senior/Lead Data Engineer (offline)

Binariks is looking for a highly motivated Data Engineer to join data engineering team for the project in the healthcare domain from the UK.The team provides a lot of autonomy in this role and proactiveness is encouraged.




- Minimum of 5+ years as a Data Engineer with experience developing and supporting data lakes, warehouses or preferably even a data lakehouse.

- Experience with data pipelines.

- Data visualization experience.

- Professional software development experience with Python (preferably), JavaScript or another programming language.

- Experience across AWS products such as S3, Glue, EMR, Lambda, Aurora, or other databases.

- Able to work as a team to deliver against requirements in a collaborative and agile way.

- Ability to communicate across teams to deliver the best outcome for all.

- Experience as a Lead


Nice To Have

- Experience with pipelines and visualizations of commercial, sales and financial data.

- Certification from a major cloud provider, ideally AWS Certified Solutions Architect (Associate or higher).

- Experience in creating data systems compliant with HIPAA, GDPR and related frameworks.

- Experience of testing, CI and monitoring data-driven applications.

- Experience working with third-party APIs.

- Experience with dbt, Snowflake or DataBricks.

- Experience with orchestration tools e.g., Airflow.

- Experience with messaging and event-processing platforms.

- Experience with Terraform.



- Managing and improving our cloud data lakehouse for analytic and aggregate data.

- Building data pipelines.

- Developing foundations for handling larger volumes of streaming data.

- Manage our cloud data infrastructure using IaC tooling.

Assist teams in integrating with the data lake and consuming from it.

- Developing customer-facing data products, such as APIs and data timelines

Help develop our machine learning data capabilities.



We provide the following for our employees:


18 working days of paid vacation

10 working days of sick leave annually (5 days paid at 100% and 5 days at 75% rate of your average monthly salary)

50% cost compensation for English courses

Flexible work schedule

Additional days off for special occasions, national holidays off

A competitive and rewarding salary based on performance appraisals/knowledge evaluation

Possibility to share and gain knowledge on regular tech talks

Friendly and professional team

Innovative projects with advanced technologies

Remote work

Accounting service

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