Work setup in the employer’s posting: hybridFrom the employer’s posting
Experience with MDM, Data Quality, Data Governance or reporting/semantic layers.
Experience with commercial data such as customer, product, sales, claims or activity data.
You'll need to have: - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology or a related field. - 5–7 years of experience in data engineering, data warehousing, data management or consulting.
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Day 84
Up longer than most. Similar jobs usually come down between day 6 and day 56.
At Beghouconsulting, jobs usually come down by about day 58.
From 13,630 similar postings that came down, and 45 of Beghouconsulting’s. Coming down is not always a hire.
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Apply strong hands-on knowledge of Snowflake, including Streams, Tasks, Snowpipe, virtual warehouses, clustering, micro-partitioning, Time Travel and data sharing. - Develop and review complex SQL and Python-based data solutions. - Make sound technical decisions around performance, scalability, data quality, maintainability and cost.
- 4+ years of strong hands-on Snowflake experience. - Strong SQL and hands-on Python skills. - Strong understanding of data warehouse architecture, dimensional modelling and ETL/ELT.
- Experience with orchestration tools such as Airflow, Prefect, Dagster or equivalent. - Familiarity with AWS or Azure - Strong analytical, problem-solving and structured thinking skills.
- Snowflake certification or equivalent demonstrated expertise. - Exposure to Databricks/PySpark is a plus. At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!
- Strong understanding of query optimization, workload management, clustering and micro-partitioning. - Experience with ETL/ELT tools such as dbt, Informatica, Talend, Matillion or Fivetran. - Experience with orchestration tools such as Airflow, Prefect, Dagster or equivalent.
- Experience with ETL/ELT tools such as dbt, Informatica, Talend, Matillion or Fivetran. - Experience with orchestration tools such as Airflow, Prefect, Dagster or equivalent. - Familiarity with AWS or Azure
Purpose of Job This role will lead the design and delivery of Snowflake-based Data Management solutions for Beghou’s Life Sciences clients. The Consultant will translate business and data requirements into practical technical solutions, own technical workstreams, lead solution design and enable L1/L2 team members through implementation.The role requires a strong combination of hands-on Snowflake expertise, data engineering, solution design, problem solving and client-facing consulting skills. The candidate should be able to independently lead a workstream from requirements through implementation while partnering with project leadership and clients. We'll trust you to:
We'll trust you to: - Lead the design and implementation of Snowflake-based Data Management solutions based on client requirements. - Translate business and data requirements into data models, technical designs, transformation logic and implementation plans.
- Lead delivery across data ingestion, transformation, data warehousing, consumption and reporting. - Apply strong hands-on knowledge of Snowflake, including Streams, Tasks, Snowpipe, virtual warehouses, clustering, micro-partitioning, Time Travel and data sharing. - Develop and review complex SQL and Python-based data solutions.
- 5–7 years of experience in data engineering, data warehousing, data management or consulting. - 4+ years of strong hands-on Snowflake experience. - Strong SQL and hands-on Python skills.
- Strong understanding of data warehouse architecture, dimensional modelling and ETL/ELT. - Proven experience designing, building and optimizing Snowflake solutions at scale. - Strong understanding of query optimization, workload management, clustering and micro-partitioning.
- Prior consulting or client-facing experience. - Snowflake certification or equivalent demonstrated expertise. - Exposure to Databricks/PySpark is a plus.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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