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This is an opportunity to join a growing business in the Engineering and Manufacturing space and take ownership of the full Power BI lifecycle. In this role you will connect to sources, shape data with Power Query/M, build star-schema models, write advanced DAX, design visuals, and publish to the Service.



Candidates must be able to demonstrate strong experience in such roles prior to this one. Candidates will also be expected to demonstrate experience with:

* Building and maintaining enterprise-grade ETL pipelines with SSIS, Azure Data Factory, or similar to feed a data warehouse / data lake.
* Designing scalable tabular / SSAS models and implementing row-level security on large datasets.
* Optimizing report and query performance on high-volume platforms such as Snowflake or SQL Server.
* Administering workspaces, gateways, scheduled refresh, and usage monitoring in Power BI Service.
* Extending solutions with the wider Microsoft stack (Power Apps, Power Automate, Azure Data Lake) for end-to-end analytics workflows.



Must-have technical skills

* Prior experience developing enterprise Power BI solutions.
* Expert DAX and M query; creating complex KPIs and time-intelligence measures.
* Strong SQL (T-SQL, Snowflake SQL) and performance tuning.
* Hands-on experience with SSIS or Azure Data Factory ETL workflows.
* Proven ability to model data in star / snowflake schemas and secure it with RLS.
* Experience managing Power BI gateways, incremental refresh, and CI/CD of BI assets (DevOps or Git).

We are partnered with an innovative HealthTech company in Dallas that is transforming healthcare through advanced data-driven solutions. They are now seeking a talented Data Scientist to join their growing team and help tackle some of the most impactful challenges in healthcare today.

Role Overview:

As a Data Scientist, you will work closely with product, engineering, and clinical teams to develop models and insights that drive better patient outcomes, optimize operations, and enable new product offerings. This is a hands-on role where you will have the opportunity to work with diverse healthcare data sets and apply the latest machine learning and statistical techniques.

Key Responsibilities:



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Design, build, and deploy predictive models to improve patient care and operational efficiency
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Analyze large-scale healthcare data sets (EMR, claims, device data, etc.)
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Collaborate with cross-functional teams to turn insights into actionable product features
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Communicate findings to both technical and non-technical stakeholders
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Stay current with new developments in machine learning, AI, and healthcare analytics



Ideal Candidate:



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5+ years experience in data science or machine learning, preferably in healthcare or life sciences
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Strong programming skills in Python (Pandas, Scikit-learn, etc.)
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Solid understanding of statistical methods, machine learning techniques, and data wrangling
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Experience working with healthcare data sets (FHIR, HL7, claims, EMR) is a plus
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Strong communication skills and ability to thrive in a collaborative environment



Why Join?



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Make an impact on real-world healthcare outcomes
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Work with a collaborative, mission-driven team
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Hybrid work flexibility (Dallas HQ)
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Competitive salary and benefits

Location - Oklahoma city, 4 days on-site

Our client, a well-established consumer electronics and smart home technology company, is seeking a skilled and experienced Database Administrator (DBA) to join its internal Technology Solutions team. The organization delivers a wide range of tech-driven products through major retail and online channels, and is committed to innovation and operational excellence.

In this role, the DBA will be responsible for ensuring the performance, reliability, and security of enterprise-level databases supporting critical business operations. This position involves both strategic planning and hands-on administration of Microsoft SQL Server environments, including cloud integration with Microsoft Azure.

Key Responsibilities:

* Monitor database performance, optimize queries, and conduct regular performance tuning.
* Install, configure, and upgrade database software and associated tools.
* Conduct database maintenance tasks, including backups, index rebuilds, and statistics updates.
* Set up and manage SQL instances for production and test environments, including availability groups and failover clusters.
* Plan for future database capacity and performance requirements.
* Implement proactive monitoring tools and resolve database-related issues.
* Maintain detailed documentation of database schemas, configurations, and procedures.
* Recommend architectural improvements aligned with Microsoft SQL Server best practices.
* Work closely with cross-functional teams including developers, analysts, and IT infrastructure.
* Enforce database security, access controls, and compliance standards.
* Develop and test disaster recovery and failover strategies.

Qualifications:

* Bachelor's degree in a related field preferred, or equivalent post-secondary education.
* Minimum 5 years of experience in database/software management with increasing responsibilities.
* Experience managing complex IT projects and working with BI platforms (e.g., Power BI).
* Relevant certifications such as Microsoft DP-300 are advantageous.
* Strong skills in SQL Server administration (2016+), T-SQL, and database performance tuning.
* Familiarity with BI tools like Power BI and Tableau.
* Experience supporting and developing within data warehouse environments.
* Proficiency in database backup/recovery tools and disaster recovery solutions.
* Working knowledge of Microsoft Azure and Active Directory.
* Understanding of Microsoft licensing practices.
* Scripting experience (PowerShell, T-SQL) for automation tasks.
* Ability to mentor team members and manage competing priorities in a fast-paced environment.



The selected candidate will be awarded with a healthy compensation package, along with an inclusive & fun working environment



Candidates will begin to be shortlisted week commencing 9th June.

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.

Job Description

Nigel Frank is working with a Fintech client in Irving, TX looking for a Lead Data Engineer with strong Data Modeling, Data Engineering and Data Warehouse experience. This will be an onsite role in Dallas reporting to the Director of Data and Analytics on a team that has recently expanded

More on the Role: The Lead Data Enigneer will have a strong background in data engineering, data warehousing, and cloud platforms such as GCP, AWS, Azure. This role will involve leading the design and development of the enterprise data platform including robust data pipelines, development frameworks, and scalable data architectures to support the company's data-driven initiatives.

Skills & Qualifications

* Bachelor's degree in Computer Science, Engineering
* 7+ years of proven experience as a Data Engineer or in a similar role, with a strong focus on data warehousing, ETL/ELT processes, and data modeling.
* Proficiency in programming languages such as Python, Java, or Scala.
* Hands-on experience with big data technologies such as Kafka, Spark, HDFS, Flink, Trino, Iceberg, etc.
* Experience with cloud platforms such as AWS, Azure, or Google Cloud.
* Strong SQL skills and experience working with both relational and NoSQL databases.
* Experience designing and implementing data processing frameworks that establish reusable development patterns.
* Experience configuring workflows within orchestration tools such as Apache Airflow.
* Experience creating data solutions in a hybrid cloud environment, particularly running workflows on Kubernetes.
* Experience supporting intensive workflows that make use of HPC (high performance compute) and/or supporting terabyte to petabyte scale workflows.
* Experience with high performance file systems such as Lustre or FSx.
* Excellent problem-solving and analytical skills.
* Experience with building and managing data pipelines in a multi-cloud environment.
* Familiarity with data governance and data quality frameworks.
* Experience in mentoring or leading a team of data engineers.

Benefits

* 100% Employer-Paid Medical, Dental and Vision benefits for employees and their families
* 16 weeks of Paid Parental Leave
* Employee Assistance Program,
* Life insurance, Short-Term Disability and Long-Term Disability
* 401(k): Company will match 100% of your contributions up to 6%
* Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!)
* Flexible Spending Accounts
* 25 days of Paid Time Off plus 12 company holidays