Work setup in the employer’s posting: hybridFrom the employer’s posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead cross-functional project teams to design and deliver client analytics
Contribute to the build of Beghou's internal data warehouse
Develop and optimize data processes, coding where needed
Analyze data and communicate actionable insights to internal and external teams
Mentor and guide junior team members
Lead cross-functional project teams in the design and development of high-quality deliverables for clients.
Contributes to Beghou’s internal data warehouse build.
Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting.
Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams.
Provide mentorship and guidance to junior team members, overseeing their professional development
You'll Need to have: - Bachelor’s or advanced degree with 7 to 9 years professional experience in data engineering using python including use of PySpark. - Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Snowflake.
Open 7 monthsWe first saw this posting 238 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 238
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Beghouconsulting’s usual: its jobs 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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You'll Need to have: - Bachelor’s or advanced degree with 7 to 9 years professional experience in data engineering using python including use of PySpark. - Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Snowflake.
- Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Snowflake. - Experience working on Databricks platform. Strong expertise in configuring/creating/managing Databricks Unity Catalogs/tables, Databricks SDK, cluster and data pipeline setup and using Databricks AI skills. Experience working with other Databricks components is added advantage. - Experience working with AI LLM integrations.
- Experience in designing, developing and managing multiple projects in different platforms. - Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. - Excellent analytical and quantitative skills, with a proven ability to solve complex problems.
- Bachelor’s or advanced degree with 7 to 9 years professional experience in data engineering using python including use of PySpark. - Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Snowflake. - Experience working on Databricks platform. Strong expertise in configuring/creating/managing Databricks Unity Catalogs/tables, Databricks SDK, cluster and data pipeline setup and using Databricks AI skills. Experience working with other Databricks components is added advantage.
- Experience working with AI LLM integrations. - Experience in web application development using Fast API, React JS, CSS/HTML is preferred. - Experience in designing, developing and managing multiple projects in different platforms.
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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.
This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.
Full-time
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Hyderabad
Working pattern and location restrictions need checking in the full posting.
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